Data Analyst jobs at Stanford University - 77 jobs

Research Data Analyst 2
Stanford University 4.5
Data analyst job at Stanford University
Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. Stanford University is one of the world's most renowned universities. Sitting in the heart of the San Francisco Bay Area among the valley's most progressive companies. The Department of Pathology at Stanford School of Medicine, one of its founding departments, stands as a leader among its peers nationwide. Our preeminent faculty spans from emerging leaders to highly accomplished physicians and scientists, including a Nobel laureate and members of the National Academy. Our mission is to improve the diagnosis, treatment, and basic understanding of the human disease. This is done through discovery (research), education, and clinical care. You will be working with an unparalleled leading-edge community of faculty and staff that are fundamentally changing the world of health care. You will have the opportunity to influence and drive change with your innovative ideas, the ability to make a difference and participate in human advancements. Our culture is fast-paced, energetic, and growing all of the time. We offer a variety of benefits beyond traditional medical, dental, retirement, and savings options: * Events and program for children, sports camps, tuition options * World-class intellectual stimulation through learning and development classes, workshops, and onsite conferences from leading-edge speakers and faculty * Work/life and family-friendly policies and reimbursement * Participation in Stanford's social responsibility and sustainable programs for a better world * A vibrant university culture that values the uniqueness of each individual We are seeking candidates who are progressive thinkers, see challenges as simply problems to solve, and have the spirit and energy to change the world. About the Department of Pathology: Comprised of extraordinary faculty and staff, our mission is to improve the ability to diagnose, treat and understand the origin and manifestation of human disease, and to care for those who have or are at risk to develop disease. We accomplish this through our clinical services (in all fields of anatomic and clinical pathology, including molecular and genomic pathology, histocompatibility testing and transfusion medicine) and be research (which includes basic, translational and clinical research into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and also by educating future leaders in pathology and related fields. Everything we do is to achieve the goals of providing the highest quality of clinical services to the patients for whom we passionately care, to advance our ability to understand, diagnose, monitor and ultimately to cure disease or to prevent or delay its occurrence, and to provide outstanding education and career development opportunities to those who share these goals. For more information about the department visit: ****************************** About the Sean N. Parker Center: The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is the first of its kind, dedicated to advancing treatments and discovering underlying immune mechanisms to develop lasting cures for allergies and asthma in both children and adults. Our interdisciplinary team of leading scientists, physician-scientists, and specialists from fields such as immunology, gastroenterology, otolaryngology, chemistry, bioengineering, pathology, pulmonology, and genetics collaborates on cutting-edge research aimed at understanding immune dysfunctions that lead to allergic reactions. As a global leader in allergy research, our Center works collaboratively with researchers worldwide, sharing data through an interlinked network of satellite centers to conduct innovative clinical trials. Our research efforts extend beyond allergies and asthma to encompass a range of immune-related disorders, including eczema, food allergies, eosinophilic conditions, drug allergies, and gastrointestinal diseases. Through laboratory and computational research, clinical trials, and community outreach, we are committed to developing rational, evidence-based therapies that provide the safest and most effective treatments for patients. By combining innovative science with compassionate care, we strive to transform lives at both local and global levels. About the Position: The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. At the Sean N. Parker Center for Allergy and Asthma Research, the world's leading scientists, physician scientists, and research teams come together to study and understand the molecular underpinnings of allergies and asthma. We are committed to finding causes, treatments, and cures for allergies and asthma, and bringing these to children, adults, and their families at local and global levels. Transforming lives with innovative science and compassionate care. Duties include: * Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. * Assist with the design of data collection instruments and statistical analysis plans under the supervision of research data manager and a senior biostatistician * Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. * Design and customize reports based upon data in the database. * Oversee and monitor regulatory compliance for utilization of the data. * Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. * Serve as a resource for non-routine inquiries such as requests for statistics or surveys. * Test prototype software and participate in approval and release process for new software. * Provide documentation based on audit and reporting criteria to investigators and research staff * The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Desired Qualifications: * Proficient understanding of statistical concepts and analytical techniques used in clinical and translational research * Experience in a quantitative discipline such as economics, finance, statistics or engineering. * Extremely comfortable with computers and quick to learn new software * REDCap experience (data entry, building REDCap forms, organizing REDCap surveys, etc.) or iMedidata experience * Able to work independently and heavily multi-task * Good communication skills * Experience in project and/or database management * Ability to understand and work with large and complex data sets - QA/QC, data cleaning, and multi-variate reporting * Advanced knowledge of programming * Clinical/medical terminology * Database experience (e.g. MySQL, Oracle) * Master's degree or higher or a combination of education and relevant experience. Many years of Experience in a quantitative discipline such as biology, laboratory, statistics or engineering. Education & Experiences (Required): * Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills, and Abilities (Required): * Proficient in at least one of R, SAS, SPSS, or STATA. * Skills in descriptive analysis, modeling of data, and graphic interfaces. * Substantial experience with MS Office and analytical programs. * Excellent writing and analytical skills. * Ability to prioritize workload. Physical Requirements*: * Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. * Occasionally use a telephone. * Rarely writing by hand. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Working Conditions: * Some work may be performed in a laboratory or field setting. The expected pay range for this position is $108,002 to $128,138 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: * Freedom to grow. We offer career development programs, tuition reimbursement, or course auditing. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. * A caring culture. We provide superb retirement plans, generous time-off, and family care resources. * A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. * Discovery and fun. Stroll through historic sculptures, trails, and museums. * Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the university will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information * Schedule: Full-time * Job Code: 4752 * Employee Status: Regular * Grade: I * Requisition ID: 107867 * Work Arrangement : On Site
$108k-128.1k yearly 8d ago

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EOP Research Data Analyst 2
Stanford University 4.5
Data analyst job at Stanford University
The Stanford Graduate School of Education (GSE) is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators worldwide, we're pursuing equitable, accessible and effective learning for all. The GSE is a top-ranked school of education, known for its prestigious faculty, rigorous graduate degree programs, and its impact on the quality of education across the world. The GSE is committed to developing leaders in education research, practice and policy. Our community includes over 60 faculty, 400 students, 230 staff, 14,000 alumni and countless individuals from the local and global communities that we work with and impact. The Educational Opportunity Project (EOP), housed in the Graduate School of Education, is seeking a Research Data Analyst 2. The EOP is dedicated to measuring educational opportunity in every community in America and has built the most comprehensive national database of academic performance in the U.S., based on over 500 million test scores. This position will support new work developing and analyzing a novel database of kindergarten readiness assessment data. Note: This position is a 1-year fixed term appointment based on Stanford University's main campus. Consideration will be given to a hybrid work schedule (partially onsite and offsite work). Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. WHAT YOU'LL DO: The Research Data Analyst 2 will work closely with the Executive and Faculty Directors of the EOP to develop code to clean, organize, and harmonize data from large longitudinal education datasets; to implement statistical estimation methods; and to analyze data for research publications. This position requires independent work as well as collaboration with the EOP team. Significant experience using Stata, a strong statistical background, and careful attention to detail is critical for this role. CORE DUTIES: * Extract and clean data from a variety of sources, including state departments of education and the federal government, and maintain its accuracy and completeness. * Identify potentially problematic data, make corrections, and eliminate root cause of data problems. * Build replicable and efficient software code for data cleaning and estimation. * Design and customize reports based upon data in the database. * Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. * Serve as a resource for non-routine inquiries such as requests for statistics. * Create documentation for all code. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities: * Substantial experience with MS Office and analytical programs, including Stata. * Excellent writing and analytical skills. * Ability to prioritize workload. Certifications and Licenses: * None DESIRED QUALIFICATIONS: * Master's or doctoral degree preferred. * 3+ years experience in Stata statistical programming preferred. * 3+ years experience supporting quantitative social science research projects preferred. * Experience managing and analyzing large datasets preferred. * Experience developing efficient code architectures preferred. * Familiarity with advanced statistical methods (e.g., hierarchical linear modeling) a plus. * Experience working with K-12 or postsecondary education data a plus. PHYSICAL REQUIREMENTS*: * Constantly perform desk-based computer tasks. * Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less. * Occasionally write by hand, twist, bend, stoop and squat. * Rarely stand, walk, reach, or work above shoulders and use a telephone. * Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. * Occasionally use a telephone. * Rarely writing by hand. WORKING CONDITIONS: * Some work may be performed in a laboratory or field setting. WORK STANDARDS: * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* The expected pay range for this position is $108,002 to $128,138 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: * Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. * A caring culture. We provide superb retirement plans, generous time-off, and family care resources. * A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. * Discovery and fun. Stroll through historic sculptures, trails, and museums. * Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at ************************. For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information * Schedule: Full-time * Job Code: 4752 * Employee Status: Fixed-Term * Grade: I * Requisition ID: 107573 * Work Arrangement : Hybrid Eligible
$108k-128.1k yearly 60d+ ago
Biostatistician / Research Data Analyst
University of California System 4.6
San Francisco, CA jobs
The Biostatistician / Data Analyst will be providing statistical support for ongoing clinical research projects, working on statistical methodological projects, and performing data analysis from multi-center randomized controlled trials, working closely with the PI, Dr. Phillips (******************************************** The work will cover one or more research projects. The biostatistician will also collaborate with other faculty in the UCSF Center for Tuberculosis. Current major projects are as follows: * Statistical activities that are part of the trials for the UNITE4TB consortium - a public-private partnership conducting phase II trials of new regimens for the treatment of tuberculosis (*************************** * Application of Bayesian methods for evidence synthesis for clinical trials to inform WHO guidelines for the treatment of TB. * Adaptation of methods for generalized pairwise comparisons (including DOOR, hierarchical outcomes, net benefit, win odds and win ratio) to TB clinical trials and specifically to supplement results in the context of non-inferiority of an efficacy outcome. Responsibilities of the Biostatistician include drafting sections for trial protocols pertaining to statistics, providing statistical support for data capture forms (case report forms, CRFs) and database specifications for the trials, drafting the statistical analysis plan, contributing to study standard operating procedures (SOPs), responding to queries from collaborators on statistical issues, joining team and project meetings, writing code for data analysis, performing interim data analyses for reporting to Data Safety and Monitoring Boards (DSMBs), providing regular reports for reports to funders and other stakeholders, and performing final analyses at trial completion. In all these activities, the biostatistician will work closely with Dr. Phillips. The Biostatistician will join an existing team of Masters-level and PhD-level biostatisticians within the UCSF Center for TB Biostatistics Core working on tuberculosis clinical research projects, led by Dr. Phillips (**************************************** The biostatistician will have the opportunity to attend biostatistics webinars (and other training activities) organized by the Department of Epidemiology and Biostatistics. The Biostatistician will be part of multi-disciplinary project teams involving study coordinators, clinicians, data managers, pharmacists, and others both within UCSF and at collaborating institutions in the US and globally. Most studies are based internationally with collaborators in the US as well as in Europe, Africa, and East Asia. The Biostatistician may be required to undertake domestic or international travel for study site visits and conference attendance, depending on job requirements and grant funding availability. The Biostatistician will also have the opportunity to undertake statistical methodological work. The focus of the methodology will be to address specific aspects in the ongoing projects, particularly clinical trials to improve the diagnosis and treatment of tuberculosis, the world's deadliest infectious disease. The post-holder will initially receive close support and supervision while increasingly taking responsibility for organizing and managing their own workload independently. Mentoring for career development will be provided by Dr. Phillips. The post holder will contribute to publications and grant applications (for both clinical and statistical projects). They will have an opportunity to write their own first-author publications or contribute to publications as an author based on their own work or collaborative work within their projects. The post holder is expected to develop their knowledge of the biology and epidemiology of relevant disease areas by reading relevant journals, attending journal clubs, conferences, etc. The post holder may undertake the work fully or partly remote with some flexibility in working hours, although the UCSF Center for TB Biostatistics Core strongly advocates an appropriate work-life balance. The post-holder must be located within the US. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $90,700 - $193,500 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: ***************************************************************************** Required Qualifications * Master's degree in Biostatistics (or a closely related subject) or PhD in Biostatistics (or a closely related subject), or Bachelor's degree in Statistics/Biostatistics with substantial relevant experience in clinical trials work * At least 1 year of practical work experience in clinical trials or related work * Human Subjects research training or ability to obtain in the first year of employment * Thorough knowledge of research function * Thorough skills associated with statistical analysis and statistical methodology * Thorough understanding of statistical aspects of randomized clinical trials * Skills to communicate complex information in a clear and concise manner both verbally and in writing * Knowledge of statistical programs including R or Stata (R strongly preferred) * Contributions to peer-reviewed publications in scientific journals and/or grant applications * Ability to take on responsibility for the day-to-day management of statistical aspects of a project * Ability to work effectively in a multi-disciplinary team * Attention to detail Preferred Qualifications * PhD in Biostatistics (or a closely related subject) * Experience working in or with the pharmaceutical industry, or in clinical research conducted under the auspices of a stringent regulatory authority * Familiarity with standards for clinical trials including ICH GCP, FDA or EMA requirements, CONSORT, SPIRIT, etc. * Research skills at a level to evaluate alternate solutions and develop recommendations * Knowledge of medical terminology with a focus on tuberculosis * Experience with Quarto and Markdown for reproducible reporting of statistical analyses
$90.7k-193.5k yearly 6d ago
Biostatistician / Research Data Analyst
University of California San Francisco 4.6
San Francisco, CA jobs
The Biostatistician / Data Analyst will be providing statistical support for ongoing clinical research projects, working on statistical methodological projects, and performing data analysis from multi-center randomized controlled trials, working closely with the PI, Dr. Phillips (******************************************** The work will cover one or more research projects. The biostatistician will also collaborate with other faculty in the UCSF Center for Tuberculosis. Current major projects are as follows: Statistical activities that are part of the trials for the UNITE4TB consortium - a public-private partnership conducting phase II trials of new regimens for the treatment of tuberculosis (*************************** Application of Bayesian methods for evidence synthesis for clinical trials to inform WHO guidelines for the treatment of TB. Adaptation of methods for generalized pairwise comparisons (including DOOR, hierarchical outcomes, net benefit, win odds and win ratio) to TB clinical trials and specifically to supplement results in the context of non-inferiority of an efficacy outcome. Responsibilities of the Biostatistician include drafting sections for trial protocols pertaining to statistics, providing statistical support for data capture forms (case report forms, CRFs) and database specifications for the trials, drafting the statistical analysis plan, contributing to study standard operating procedures (SOPs), responding to queries from collaborators on statistical issues, joining team and project meetings, writing code for data analysis, performing interim data analyses for reporting to Data Safety and Monitoring Boards (DSMBs), providing regular reports for reports to funders and other stakeholders, and performing final analyses at trial completion. In all these activities, the biostatistician will work closely with Dr. Phillips. The Biostatistician will join an existing team of Masters-level and PhD-level biostatisticians within the UCSF Center for TB Biostatistics Core working on tuberculosis clinical research projects, led by Dr. Phillips (**************************************** The biostatistician will have the opportunity to attend biostatistics webinars (and other training activities) organized by the Department of Epidemiology and Biostatistics. The Biostatistician will be part of multi-disciplinary project teams involving study coordinators, clinicians, data managers, pharmacists, and others both within UCSF and at collaborating institutions in the US and globally. Most studies are based internationally with collaborators in the US as well as in Europe, Africa, and East Asia. The Biostatistician may be required to undertake domestic or international travel for study site visits and conference attendance, depending on job requirements and grant funding availability. The Biostatistician will also have the opportunity to undertake statistical methodological work. The focus of the methodology will be to address specific aspects in the ongoing projects, particularly clinical trials to improve the diagnosis and treatment of tuberculosis, the world's deadliest infectious disease. The post-holder will initially receive close support and supervision while increasingly taking responsibility for organizing and managing their own workload independently. Mentoring for career development will be provided by Dr. Phillips. The post holder will contribute to publications and grant applications (for both clinical and statistical projects). They will have an opportunity to write their own first-author publications or contribute to publications as an author based on their own work or collaborative work within their projects. The post holder is expected to develop their knowledge of the biology and epidemiology of relevant disease areas by reading relevant journals, attending journal clubs, conferences, etc. The post holder may undertake the work fully or partly remote with some flexibility in working hours, although the UCSF Center for TB Biostatistics Core strongly advocates an appropriate work-life balance. The post-holder must be located within the US. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $90,700 - $193,500 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: ***************************************************************************** Master's degree in Biostatistics (or a closely related subject) or PhD in Biostatistics (or a closely related subject), or Bachelor's degree in Statistics/Biostatistics with substantial relevant experience in clinical trials work At least 1 year of practical work experience in clinical trials or related work Human Subjects research training or ability to obtain in the first year of employment Thorough knowledge of research function Thorough skills associated with statistical analysis and statistical methodology Thorough understanding of statistical aspects of randomized clinical trials Skills to communicate complex information in a clear and concise manner both verbally and in writing Knowledge of statistical programs including R or Stata (R strongly preferred) Contributions to peer-reviewed publications in scientific journals and/or grant applications Ability to take on responsibility for the day-to-day management of statistical aspects of a project Ability to work effectively in a multi-disciplinary team Attention to detail PhD in Biostatistics (or a closely related subject) Experience working in or with the pharmaceutical industry, or in clinical research conducted under the auspices of a stringent regulatory authority Familiarity with standards for clinical trials including ICH GCP, FDA or EMA requirements, CONSORT, SPIRIT, etc. Research skills at a level to evaluate alternate solutions and develop recommendations Knowledge of medical terminology with a focus on tuberculosis Experience with Quarto and Markdown for reproducible reporting of statistical analyses Human Subjects research training or ability to obtain in the first year of employment Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. Department Description The mission of the Division of Pulmonary and Critical Care Medicine at ZSFG is to provide comprehensive medical care for the community, to develop innovative research aimed at elucidating basic mechanisms of disease, and to translate its research activities into both new clinical initiatives and a rich training environment for the next generation of academic physician scientists. Dr. Phillips (******************************************* has joint appointments in the Department of Medicine and the Department of Epidemiology and Biostatistics at UCSF and leads the UCSF Center for Tuberculosis Biostatistics Core. The objective of Dr. Phillips' research is to design, implement, and optimize clinical trials for new treatments for tuberculosis in order to deliver safer and more efficacious regimens for patients. He is lead statistician for several international tuberculosis trials networks and has been primary senior statistician for a number of high impact phase II and phase III tuberculosis clinical trials. He leads a team of masters-level and PhD-level statisticians providing statistical support to many ongoing TB trials and working on applied clinical trials methodology. About UCSF The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells. Pride Values UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values. In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu Join us to find a rewarding career contributing to improving healthcare worldwide.
$90.7k-193.5k yearly 6d ago
Data Analyst (flex-hybrid)
University of California System 4.6
Los Angeles, CA jobs
General Information Press space or enter keys to toggle section visibility Onsite or Remote Flexible Hybrid Work Schedule Monday-Friday, 8am-5pm PST Posted Date 06/25/2024 Salary Range: $78500 - 163600 Annually Employment Type 2 - Staff: Career Duration Full time Employee Job # 17160 Primary Duties and Responsibilities Press space or enter keys to toggle section visibility As a member of the Medicare Advantage Operations team, Business Data Analyst is instrumental in independently developing the detailed requirements specifications according to business needs. In this role, you will: * work directly with and serve as the liaison between business units, external trading partners, IT teams and support teams * ensure functional and non-functional requirements are understood and implemented consistent with the Business Data Analyst's vision * perform testing, design and delivery requirements * work with the team to identify, analyze, quantify, and mitigate business risks * collaborate with the training/development staff to deliver and update training documentation * generate adhoc reports to support operations team as needed This is a flex-hybrid role which will require you to be onsite as required by operational need; there are no reimbursements for travel to "home office" location. Each employee must complete a FlexWork Agreement with their manager which will outline arrangement parameters and aids both parties in fully understanding expectations. Arrangements are regularly evaluated, and are subject to termination. Salary offers are determined based on various factors including, but not limited to, qualifications, experience, and equity. The full salary range for this position is $78,600 - $163,600 annually. The budgeted salary or hourly range that the University reasonably expects to pay for this position is approximately between $80,000 - $113,000 annually. Job Qualifications Press space or enter keys to toggle section visibility * Bachelor's Degree in Business Administration, Information Systems, Health Care or other related field required * Minimum of five (5) years' experience in a Medicare or Managed Care environment managing enrollment, claims or encounters required * Minimum of five (5) years' experience with CMS processes in a Medicare or Managed Care environment required * Experience with CMS processes is a plus * Knowledge of SQL window based computer environment including MS Office and related programs is a plus * Knowledge of encounter regulatory reporting and compliance requirements. * Experience managing vendors to contractual requirements. * Strong ability to research and resolve encounter issues. * Strong knowledge of the health care model, capitation and other managed care IPA and provider reimbursement methodologies. * Strong knowledge of physician and facility billing practices, appropriate CPT coding initiatives, ICD-10 coding standards, as well as Revenue and HCPCS coding. * Strong leadership skills, with the ability to articulate goals, plan and implement processes to achieve those goals, recognize and assess the implications of confounding variables, anticipate consequences, and meet deadlines. * Demonstrated ability to analyze and organize complex federal and private insurance regulations. * Working knowledge of Microsoft Office Suite (Excel, Word, and PowerPoint) and data visualization tools. * Skill in prioritizing and performing a variety of duties within a system that has frequently changing assignments, priorities and deadlines. * Reliability and compliance with scheduling standards. * Strong leadership and interpersonal skills * Initiative, problem identification, resolution and analytical skills are essential. * Excellent oral and written communication skills are required. * Ability to modify and adapt operational procedures to changing operational needs * Strong critical thinking and the ability to apply knowledge at a broad level within a complex academic medical center is essential. * Ability to develop, implement, and evaluate methods and systems to improve efficiency. * Proven skills to lead and facilitate cross-functional workgroups and other meetings. * Ability to work as part of a team, collaborating with colleagues. * Ability to analyze and organize complex federal and private insurance regulations. * Must be effective at working independently with minimal supervision. * Ability to support the working hours of the department. * Ability to travel/attend off-site meetings and conferences. * Ability to set and manage priorities judiciously * Excellent interpersonal skills; demonstrated ability to give and receive constructive feedback * Ability to articulate ideas to both technical and non-technical staff * Exceptionally self-motivated; ability to motivate and participate in a team-oriented, collaborative environment. * Superior analytical and problem solving abilities * Must be customer service oriented, be able to work well individually and as part of a team; and have a strong work ethic.
$80k-113k yearly 23d ago
ASST. RESEARCH DATA COORDINATOR - HYBRID
University of California System 4.6
Orange, CA jobs
Founded in 1965, UC Irvine is a member of the prestigious Association of American Universities and is ranked among the nation's top 10 public universities by U.S. News & World Report. The campus has produced five Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. Led by Chancellor Howard Gillman, UC Irvine has more than 36,000 students and offers 224 degree programs. It's located in one of the world's safest and most economically vibrant communities and is Orange County's second-largest employer, contributing $7 billion annually to the local economy and $8 billion statewide.To learn more about UC Irvine, visit ************ The NCI-designated Chao Family Comprehensive Cancer Center (CFCCC) is a campus-wide multidisciplinary matrix organization whose goal is to promote and enhance cancer-relevant research and patient care at UC Irvine. The CFCCC provides research resources to its ~175 members engaged in research and offers multidisciplinary cancer care to its patients. Responsibilities Under supervision of the Clinical Research Manager, the Assistant Research Data Coordinator (ARDC) supports the clinical research efforts of the CFCCC by providing comprehensive data management for a research portfolio of Phase I-IV cancer-related protocols according to Good Clinical Practices (GCP), internal standard operating procedure (SOPs), and University policies and procedures. The incumbent is responsible for the timely and accurate collection and coordination of data submission to study sponsors ensuring quality control and leading to timely milestone payments. This includes responsibility for the compilation and transcription of research patient data and study-related information into case report forms (CRFs) into sponsor specific electronic data capture systems (EDC). S/he will work with the clinical research team to manage and collect accurate data and assist Principal Investigators and study coordinators for all data management aspects of cancer-related trials. Serve as the liaison to sponsors, governing agencies and facilitate transmission of verbal and written communication to national cooperative oncology groups, pharmaceutical companies and other research entities as needed. The incumbent is also responsible for maintaining communication with all elements of a multi-level research network, interacting with sponsoring agencies including National Cancer Institute, and compliance and regulatory groups such as the Institutional Review Board (IRB), Food and Drug Administration (FDA), and sponsor monitors. In addition, this individual must accurately maintain clinical trial information in the clinical trial management system (OnCore) and adhere to institutional policies and external Cancer Center Support Grant guidelines for reporting to the National Cancer Institute (NCI). Qualifications Required: * Demonstrated problem solving capabilities to resolve concerns that arise unexpectedly * Ability to independently exercise discretion and sound judgment * Ability to take initiative and demonstrate strong commitment to duties * Access to transportation to off-site research locations * Demonstrated high-level communication skills to convey information in a clear and concise way, synthesizing information and presenting it to others * Demonstrated ability to research, properly evaluate information, and prepare concise, well organized reports, summaries, and correspondence * Ability to interact with the public, faculty, and staff * Willingness to work as a supportive, cooperative member of an interdisciplinary team * Ability to work collegially and cooperatively in a small office and to establish and maintain cooperative working relationships * Demonstrated skill in interacting with persons of various social, cultural, economic and educational backgrounds * Ability to work both independently and as part of team * Foster and promote a positive attitude and professional appearance * Ability to establish and maintain files and records * Working knowledge of computer software including Microsoft Office (Outlook, Word, Excel, and PowerPoint * Ability to think critically, compiles data from various sources, analyze data, and prepare reports. * Ability to analyze problems, implement solutions and multitask * Strong attention to detail * Working knowledge of medical terminology and accurately read progress notes in patient charts * High level of integrity and honesty in maintaining confidentiality * Demonstrated ability to organize and prioritize a complex and dynamic workload * Ability to multitask and meet deadlines, despite interruptions * Ability to prioritize assignments and achieve high productivity/quality with short time frames, under rigid deadlines, and /or in environments with frequent workload changes and competing demands * Skill in working independently, taking initiative and following through on assignments * Ability to work within a deadline-driven structure * Demonstrated experience in maintaining flexibility and adaptability while implementing institutional change * 1-3 Years of related clinical research coordination work experience with Bachelor of Arts/Bachelor of Science, or equivalent experience Preferred: * Experience with clinical trial management systems, preferably OnCore * Experience with cancer-related research. * Knowledge with various types of human subject clinical trials i.e., National Group, industrial, and Investigator-authored. Special Conditions: * May require travel to satellite sites. * May require study management coordination outside of normal business hours. Total Compensation In addition to the salary range listed below, we offer a wealth of benefits to make working at UCI even more rewarding. These benefits may include medical insurance, sick and vacation time, retirement savings plans, and access to a number of discounts and perks. Please utilize the links listed here to learn more about our compensation practices and benefits. The expected pay range for this recruitment is $27.40- $34.43 (Hourly). Conditions of Employment: The University of California, Irvine (UCI) seeks to provide a safe and healthy environment for the entire UCI community. As part of this commitment, all applicants who accept an offer of employment must comply with the following conditions of employment: * Background Check and Live Scan * Legal Right to work in the United States * Vaccination Policies * Smoking and Tobacco Policy * Drug Free Environment The following additional conditions may apply, some of which are dependent upon business unit or job specific requirements. * California Child Abuse and Neglect Reporting Act * E-Verify * Pre-Placement Health Evaluation Details of each policy may be reviewed by visiting the following page - ******************************************************** Closing Statement: The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the University of California's Affirmative Action Policy please visit: ******************************************** For the University of California's Anti-Discrimination Policy, please visit: ******************************************************** We are committed to attracting and retaining a diverse workforce along with honoring unique experiences, perspectives, and identities. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming. UCI provides reasonable accommodations for applicants with disabilities upon request. For more information, please contact Human Resources at ************** or ***********.
$27.4-34.4 hourly 10d ago
ASST. RESEARCH DATA COORDINATOR - HYBRID
University of California System 4.6
Orange, CA jobs
Who We Are Founded in 1965, UC Irvine is a member of the prestigious Association of American Universities and is ranked among the nation's top 10 public universities by U. S. News & World Report. The campus has produced five Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. Led by Chancellor Howard Gillman, UC Irvine has more than 36,000 students and offers 224 degree programs. It's located in one of the world's safest and most economically vibrant communities and is Orange County's second-largest employer, contributing $7 billion annually to the local economy and $8 billion statewide. To learn more about UC Irvine, visit www. uci. edu. The NCI-designated Chao Family Comprehensive Cancer Center (CFCCC) is a campus-wide multidisciplinary matrix organization whose goal is to promote and enhance cancer-relevant research and patient care at UC Irvine. The CFCCC provides research resources to its ~175 members engaged in research and offers multidisciplinary cancer care to its patients. Your Role on the Team Under supervision of the Clinical Research Manager, the Assistant Research Data Coordinator (ARDC) supports the clinical research efforts of the CFCCC by providing comprehensive data management for a research portfolio of Phase I-IV cancer-related protocols according to Good Clinical Practices (GCP), internal standard operating procedure (SOPs), and University policies and procedures. The incumbent is responsible for the timely and accurate collection and coordination of data submission to study sponsors ensuring quality control and leading to timely milestone payments. This includes responsibility for the compilation and transcription of research patient data and study-related information into case report forms (CRFs) into sponsor specific electronic data capture systems (EDC). S/he will work with the clinical research team to manage and collect accurate data and assist Principal Investigators and study coordinators for all data management aspects of cancer-related trials. Serve as the liaison to sponsors, governing agencies and facilitate transmission of verbal and written communication to national cooperative oncology groups, pharmaceutical companies and other research entities as needed. The incumbent is also responsible for maintaining communication with all elements of a multi-level research network, interacting with sponsoring agencies including National Cancer Institute, and compliance and regulatory groups such as the Institutional Review Board (IRB), Food and Drug Administration (FDA), and sponsor monitors. In addition, this individual must accurately maintain clinical trial information in the clinical trial management system (OnCore) and adhere to institutional policies and external Cancer Center Support Grant guidelines for reporting to the National Cancer Institute (NCI). What It Takes to be Successful Required: Demonstrated problem solving capabilities to resolve concerns that arise unexpectedly Ability to independently exercise discretion and sound judgment Ability to take initiative and demonstrate strong commitment to duties Access to transportation to off-site research locations Demonstrated high-level communication skills to convey information in a clear and concise way, synthesizing information and presenting it to others Demonstrated ability to research, properly evaluate information, and prepare concise, well organized reports, summaries, and correspondence Ability to interact with the public, faculty, and staff Willingness to work as a supportive, cooperative member of an interdisciplinary team Ability to work collegially and cooperatively in a small office and to establish and maintain cooperative working relationships Demonstrated skill in interacting with persons of various social, cultural, economic and educational backgrounds Ability to work both independently and as part of team Foster and promote a positive attitude and professional appearance Ability to establish and maintain files and records Working knowledge of computer software including Microsoft Office (Outlook, Word, Excel, and PowerPoint Ability to think critically, compiles data from various sources, analyze data, and prepare reports. Ability to analyze problems, implement solutions and multitask Strong attention to detail Working knowledge of medical terminology and accurately read progress notes in patient charts High level of integrity and honesty in maintaining confidentiality Demonstrated ability to organize and prioritize a complex and dynamic workload Ability to multitask and meet deadlines, despite interruptions Ability to prioritize assignments and achieve high productivity/quality with short time frames, under rigid deadlines, and /or in environments with frequent workload changes and competing demands Skill in working independently, taking initiative and following through on assignments Ability to work within a deadline-driven structure Demonstrated experience in maintaining flexibility and adaptability while implementing institutional change 1-3 Years of related clinical research coordination work experience with Bachelor of Arts/Bachelor of Science, or equivalent experience Preferred: Experience with clinical trial management systems, preferably OnCore Experience with cancer-related research. Knowledge with various types of human subject clinical trials i. e. , National Group, industrial, and Investigator-authored. Special Conditions: May require travel to satellite sites. May require study management coordination outside of normal business hours. Total Compensation In addition to the salary range listed below, we offer a wealth of benefits to make working at UCI even more rewarding. These benefits may include medical insurance, sick and vacation time, retirement savings plans, and access to a number of discounts and perks. Please utilize the links listed here to learn more about our compensation practices and benefits. The expected pay range for this recruitment is $27. 40- $34. 43 (Hourly). Conditions of Employment: The University of California, Irvine (UCI) seeks to provide a safe and healthy environment for the entire UCI community. As part of this commitment, all applicants who accept an offer of employment must comply with the following conditions of employment: Background Check and Live Scan Legal Right to work in the United States Vaccination Policies Smoking and Tobacco Policy Drug Free Environment The following additional conditions may apply, some of which are dependent upon business unit or job specific requirements. California Child Abuse and Neglect Reporting Act E-Verify Pre-Placement Health Evaluation Details of each policy may be reviewed by visiting the following page - *********** uci. edu/new-hire/conditions-of-employment. php Closing Statement: The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the University of California's Affirmative Action Policy please visit: *************** ucop. edu/doc/4010393/PPSM-20. For the University of California's Anti-Discrimination Policy, please visit: *************** ucop. edu/doc/1001004/Anti-Discrimination. We are committed to attracting and retaining a diverse workforce along with honoring unique experiences, perspectives, and identities. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming. UCI provides reasonable accommodations for applicants with disabilities upon request. For more information, please contact Human Resources at ************** or eec@uci. edu. Consideration for Work Authorization Sponsorship Must be able to provide proof of work authorization
$27-34 hourly 10d ago
Data Systems Management
University of California System 4.6
San Francisco, CA jobs
Under general supervision of the Principal Investigator, the primary responsibilities of the data system analyst (bilingual in an AANHPI language is required) involve the application of professional concepts, methodologies, and procedures to address routine data and information management challenges. Works on problems of limited scope to provide data / information management support. The incumbent works on problems of limited scope to provide data / information management support and follows standard practices and procedures in analyzing situations or data / information from which answers can be readily obtained. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $63,700 - $136,100 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: ***************************************************************************** Required Qualifications * Bachelor's degree in Computer Science, Informatics, Information and Computer Science, Statistics, or Data Science, or in related field and / or equivalent experience / training. * Fluent or Proficient in an Asian, Hawaiian or Pacific Islander language in reading, writing, and speaking * Understanding of data management operations and database administration, including data modeling, data definition, data conversion and management of content or unstructured information. * Knowledge of relevant rules and regulations. * Demonstrated ability to work with others from diverse backgrounds. * Demonstrated effective communication and interpersonal skills. * Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. * Self-motivated and works independently and as part of a team. * Demonstrated problem-solving skills. Able to learn effectively and meet deadlines. * Demonstrated service orientation skills. * Strong organizational skills. * Strong analytical and design skills, including the ability to abstract information requirements from real-world processes to understand information flows in computer systems. * Ability to represent relevant information in abstract models. Critical thinking skills and attention to detail. Preferred Qualifications None applicable.
$63.7k-136.1k yearly 4d ago
Research Data Analyst
University of California System 4.6
San Francisco, CA jobs
The Research Data Analyst will work under the direction of Co-Directors of the Center for Biosignal Research (CBR) and report directly to the CBR Scientific Program Manager. The CBR at UCSF focuses on the study and clinical use of biosignals, or signals that can be continuously measured and monitored from the human body. Our areas of research broadly focus on improving biosignal analysis through signal processing and advanced algorithms, identifying predictors of adverse outcomes, using biosignals to improve physiologic understanding and leveraging these insights to improve patient care and reduce false alarms in bedside monitoring. The ideal candidate will leverage their experience with complex data analysis, in particular time-series data analysis, biomedical/clinical informatics, and/or signal processing, to develop and evaluate algorithms to interpret continuous bedside monitoring data, integrating additional clinical data such as electronic medical records when appropriate. Prior experience with clinical or biosignal data is preferred but not required. Example projects include the development of algorithms to improve alerting systems for clinically significant arrhythmias and other events, using monitoring data to predict patient trajectories within specific disease cohorts, or assessing the impact of changing alerting mechanisms on overall alarm burden in retrospective data. There are also opportunities to contribute to the design and implementation of the data and computing infrastructure that underlie these efforts. The incumbent will work independently and in collaboration with CBR staff and faculty investigators to facilitate multiple research projects and CBR efforts. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $90,700 - $193,500 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: ***************************************************************************** Required Qualifications * BS in related field and 2+ years of experience, or equivalent experience / training * Thorough knowledge of at least one of Python, Java, C++, or related * 1+ years of experience with time-series data analysis * 1+ years of experience with signal processing methods and/or biomedical/clinical informatics * 2+ years of experience with data science, including statistical analysis, data transformations, and visualization * Advanced ability to communicate complex information in a clear and concise manner both verbally and in writing Preferred Qualifications * Advanced degree in related field * Knowledge of HPC/cluster computing * Experience with clinical data * Track record of peer-reviewed research publications * Experience with software engineering best practices * Experience with SQL and/or no SQL databases
$90.7k-193.5k yearly 6d ago
Research Data Analyst
University of California San Francisco 4.6
San Francisco, CA jobs
The Research Data Analyst will work under the direction of Co-Directors of the Center for Biosignal Research (CBR) and report directly to the CBR Scientific Program Manager. The CBR at UCSF focuses on the study and clinical use of biosignals, or signals that can be continuously measured and monitored from the human body. Our areas of research broadly focus on improving biosignal analysis through signal processing and advanced algorithms, identifying predictors of adverse outcomes, using biosignals to improve physiologic understanding and leveraging these insights to improve patient care and reduce false alarms in bedside monitoring. The ideal candidate will leverage their experience with complex data analysis, in particular time-series data analysis, biomedical/clinical informatics, and/or signal processing, to develop and evaluate algorithms to interpret continuous bedside monitoring data, integrating additional clinical data such as electronic medical records when appropriate. Prior experience with clinical or biosignal data is preferred but not required. Example projects include the development of algorithms to improve alerting systems for clinically significant arrhythmias and other events, using monitoring data to predict patient trajectories within specific disease cohorts, or assessing the impact of changing alerting mechanisms on overall alarm burden in retrospective data. There are also opportunities to contribute to the design and implementation of the data and computing infrastructure that underlie these efforts. The incumbent will work independently and in collaboration with CBR staff and faculty investigators to facilitate multiple research projects and CBR efforts. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The salary range for this position is $90,700 - $193,500 (Annual Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: ***************************************************************************** BS in related field and 2+ years of experience, or equivalent experience / training Thorough knowledge of at least one of Python, Java, C++, or related 1+ years of experience with time-series data analysis 1+ years of experience with signal processing methods and/or biomedical/clinical informatics 2+ years of experience with data science, including statistical analysis, data transformations, and visualization Advanced ability to communicate complex information in a clear and concise manner both verbally and in writing Advanced degree in related field Knowledge of HPC/cluster computing Experience with clinical data Track record of peer-reviewed research publications Experience with software engineering best practices Experience with SQL and/or no SQL databases Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. Department Description The Division of Cardiology, in which the Center for Biosignal Research is based, is one of the largest clinical, research and training divisions of the Department of Medicine (DOM) at UCSF. Within the Division are sub-specialty sections for: Adult Congenital Heart Disease; Advanced Heart Failure, Transplant, and Pulmonary Hypertension; Cardiac Electrophysiology; Critical Care Cardiology; Echocardiography and Cardiac Imaging; General Cardiology, Interventional Cardiology; CardioOncology and Immunology; and Prevention. The Division runs several clinical practices in multiple sites, conducts basic and clinical research, and educates medical students, residents, clinical fellows and postdoctoral scholars through ACGME as well as non-ACGME training programs. In addition, the Division has significant and complex financial and administrative relationships with the Department of Medicine (DOM) and the UCSF Medical Center, as well as large patient care programs in the sections noted above, large clinical, Federal, and privately supported research programs and six faculty laboratories. The Division has 90+ full-time faculty, over a dozen non-faculty academics, approximately 36 clinical fellows, several post-doctoral research fellows, and over 70 research support and administrative staff. While the Division is primarily split between the Parnassus and Mission Bay campuses, fellows have rotations at the Zuckerberg San Francisco General Hospital and the San Francisco Veterans Affairs Medical Center. About UCSF The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells. Pride Values UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values. In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu Join us to find a rewarding career contributing to improving healthcare worldwide.
$90.7k-193.5k yearly 6d ago
Career Data Analyst
University of Southern California 4.1
Los Angeles, CA jobs
Senior Business Data Analyst USC Marshall School of Business Career Services Department The Marshall Career Services team, comprised of more than 30 professional staff, and more than 30 undergraduate and graduate student staff, lead the charge to ensure all of Marshall's approximately 8,200 undergraduate, specialty MS, and MBA students have the support and connections to achieve their professional goals. Our team is currently in a period of change and rallying around a new set of strategic values: * relationship-centered (we prioritize strong relationships with all internal and external stakeholders, especially students) * career-outcome-driven (we connect students to as many opportunities and employers as possible and actively build the networks that lead to employment), * innovative practice (we maintain a current, tech-forward, and competent practice) * team-centered (we value our people and foster a supportive, balanced, and authentic work environment). These values are reshaping how we function as a team and deliver career services. We are thrilled to be recruiting for several roles and are excited to recruit future team members that share our enthusiasm for defining the future of career services and continuing to build Marshall's reputation as the best business school! Marshall Career Services is excited to be adding a Career Data Analyst to our team. This position will organize and centralize our data efforts, ultimately taking our data collection and analysis processes to the next level. The Career Data Analyst requires a unique skillset: comfort working both independently and collaboratively, fine-tuned attention to detail while also being able to see the bigger picture, and quantitative analysis mixed with qualitative presentation. The Career Data Analyst will outline data collection timelines and processes across each academic program, partner with colleagues through Marshall to ensure the data is collected, analyze and disseminate the results, and ensure all reporting requirements are fulfilled. This position reports to the Director of Assessment and Operations. Responsibilities and Duties: * Outline career data collection timelines and processes for each of the academic programs, catering each timeline and process to the unique requirements and goals for each program * Actively partner with Marshall Career Services staff, academic program staff, faculty, and others to drive high response rates to all career surveys, recognizing partnership and influence are the only way to drive successful completion rates; provide regular updates to all staff around survey completion rates to create a culture of assessment and expectation around driving response rates * Conduct full data analysis, quality checks, resolution of any issues, and work to ensure final results are valid and defendable; complete all mandatory reporting to meet institutional responsibility for career data outcome reporting * Maintain expertise and up-to-date knowledge on relevant career standards, including CSEA, First Destination, or other appropriate benchmarks * Partner with Institutional Research, Admissions, External Relations, or other partners to offer data for dashboards, publications, or other marketing materials * Provide career outcome data to Marshall Career Services team; create career-related presentation decks for associate dean; create on-off reports at the request of the associate dean demonstrating career trends over time or other data points * Continually assess the effectiveness of the data collection tools being used; make recommendations on necessary updates and changes to ensure efficient and effective data collection * Position may supervise student employees, graduate interns, or project employees * Other duties as assigned Minimum Qualifications: * Bachelor's degree, preferably in a quantitative field * Three years of full-time relevant experience * High organizational and project management skills Preferred Qualifications: * Five years of full-time relevant experience * Direct experience and knowledge of career data analysis and reporting Anticipated Hiring Range: * The salary range for this position is 113,939.96 - 128,939.28 - 152,210.32 (When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations. Required Documents and Additional Information * Resume and cover letter required; these may be uploaded as one file. Please do not submit your application without these documents. * Job openings are posted for a minimum of seven calendar days. This job may be removed from posting boards and filled any time after the minimum posting period has ended, so please apply on the same business day if interested. * USC has excellent benefits, including health benefits for staff and their family with access to the renowned university medical network; eligibility for retirement plans with employer contributions; tuition benefits for staff and their family; free Professional Development classes; central Los Angeles location with easy access to commuter trains, buses and free tram pick up services; discounts to sporting and other campus events. Why join the USC Marshall School of Business? The USC Marshall School of Business is ideally positioned to address the challenges of a rapidly changing business environment and is ranked as one of the country's top schools for accounting, finance, marketing, consulting, entrepreneurship and international business studies. USC Marshall builds on the unique opportunities that stem from its Los Angeles location on the Pacific Rim, its interdisciplinary and impactful research, the momentum generated by the University of Southern California, and the unparalleled engagement of the Trojan Alumni Family. With ready access to industries defining the new business frontier, including bio-technology, life sciences, media, entertainment, communications and healthcare, this vast network offers USC Marshall graduates exceptionally strong support for success in the global marketplace. For more information on the USC Marshall School of Business, visit: ********************* Minimum Education: Bachelor's degree Minimum Experience: 4 years Minimum Field of Expertise: Bachelor's degree in counseling, higher education, human resources, or related field. Four years' counseling and human resources experience in a corporate or higher education environment, or similar industry. Leadership and guidance skills with a proven ability to manage, balance, and prioritize different tasks and projects. In-depth knowledge of federal immigration regulations, interpreting and providing guidance as to their relevance to international students. Advanced knowledge of employer recruiting strategies, job market trends, and occupational, career, and employment information sources. Superior level of professionalism, exceptional attention to detail, and exemplary written and oral communication, presentation, and public-speaking skills. Demonstrated experience interacting with diverse individuals and groups, exercising diplomacy, good judgment, and discretion. USC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to the Background Screening Policy Appendix D for specific employment screen implications for the position for which you are applying. We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at **************, or by email at *************. Inquiries will be treated as confidential to the extent permitted by law. * Notice of Non-discrimination * Employment Equity * Read USC's Clery Act Annual Security Report * USC is a smoke-free environment * Digital Accessibility If you are a current USC employee, please apply to this USC job posting in Workday by copying and pasting this link into your browser: *************************************************************
$65k-90k yearly est. Auto-Apply 20d ago
EOP Research Data Analyst 2
Stanford University 4.5
Data analyst job at Stanford University
**Graduate School of Education, Stanford, California, United States** Information Analytics Post Date Oct 17, 2025 Requisition # 107573 The **Stanford Graduate School of Education (GSE)** is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators worldwide, we're pursuing equitable, accessible and effective learning for all. The GSE is a top-ranked school of education, known for its prestigious faculty, rigorous graduate degree programs, and its impact on the quality of education across the world. The GSE is committed to developing leaders in education research, practice and policy. Our community includes over 60 faculty, 400 students, 230 staff, 14,000 alumni and countless individuals from the local and global communities that we work with and impact. The Educational Opportunity Project (EOP), housed in the Graduate School of Education, is seeking a Research Data Analyst 2. The EOP is dedicated to measuring educational opportunity in every community in America and has built the most comprehensive national database of academic performance in the U.S., based on over 500 million test scores. This position will support new work developing and analyzing a novel database of kindergarten readiness assessment data. _Note: This position is a 1-year fixed term appointment based on Stanford University's main campus. Consideration will be given to a hybrid work schedule (partially onsite and offsite work). Candidates must be eligible to work in the US. Visa sponsorship is not available for this position._ WHAT YOU'LL DO: The Research Data Analyst 2 will work closely with the Executive and Faculty Directors of the EOP to develop code to clean, organize, and harmonize data from large longitudinal education datasets; to implement statistical estimation methods; and to analyze data for research publications. This position requires independent work as well as collaboration with the EOP team. Significant experience using Stata, a strong statistical background, and careful attention to detail is critical for this role. CORE DUTIES: + Extract and clean data from a variety of sources, including state departments of education and the federal government, and maintain its accuracy and completeness. + Identify potentially problematic data, make corrections, and eliminate root cause of data problems. + Build replicable and efficient software code for data cleaning and estimation. + Design and customize reports based upon data in the database. + Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. + Serve as a resource for non-routine inquiries such as requests for statistics. + Create documentation for all code. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities: + Substantial experience with MS Office and analytical programs, including Stata. + Excellent writing and analytical skills. + Ability to prioritize workload. Certifications and Licenses: + None DESIRED QUALIFICATIONS: + Master's or doctoral degree preferred. + 3+ years experience in Stata statistical programming preferred. + 3+ years experience supporting quantitative social science research projects preferred. + Experience managing and analyzing large datasets preferred. + Experience developing efficient code architectures preferred. + Familiarity with advanced statistical methods (e.g., hierarchical linear modeling) a plus. + Experience working with K-12 or postsecondary education data a plus. PHYSICAL REQUIREMENTS*: + Constantly perform desk-based computer tasks. + Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less. + Occasionally write by hand, twist, bend, stoop and squat. + Rarely stand, walk, reach, or work above shoulders and use a telephone. + Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. + Occasionally use a telephone. + Rarely writing by hand. WORKING CONDITIONS: + Some work may be performed in a laboratory or field setting. WORK STANDARDS: + Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. + Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. + Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,******************************* _The expected pay range for this position is $108,002 to $128,138 per annum._ _Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs._ _At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (_ _***************************************************** _) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process._ Why Stanford is for You: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture andunique perksempower you with: + Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. + A caring culture. We provide superb retirement plans, generous time-off, and family care resources. + A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. + Discovery and fun. Stroll through historic sculptures, trails, and museums. + Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at ************************. For all other inquiries, please submit a_ _contact form_ _._ _Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._ Additional Information + **Schedule: Full-time** + **Job Code: 4752** + **Employee Status: Fixed-Term** + **Grade: I** + **Requisition ID: 107573** + **Work Arrangement : Hybrid Eligible**
$108k-128.1k yearly 60d+ ago
Research Data Analyst 2
Stanford University 4.5
Data analyst job at Stanford University
Stanford University School of Medicine and the Heart Center Clinical and Translational Research Program (CTRP) are seeking a Research Data Analyst 2. Duties include: * Extract clinical and operational data from internal data repositories into usable formats and develop pipeline for ongoing data extraction with new data generation, using SQL, Python, R, or other appropriate languages. * Compile survey data and clinical research data into usable formats. * Identify relevant publicly available datasets and registries, from the National Institutes of Health, multi-institutional collaboratives, and various other sources. * Obtain and harmonize external data with local data, including activities such as converting among data storage formats, merging based on common identifiers, excluding irrelevant data, consolidating naming and labeling strategies, and generating analysis-ready datasets. * Conduct feature engineering and missing data imputation as needed, and conduct reliability and validity checks. * Restructure datasets for analyses conducted independently and with other quantitative investigators as needed. * Analyze large, multi-dimensional and longitudinal data sets including Cox regression and multivariable modeling, employing prediction modeling or hypothesis testing approaches as appropriate. * Design and implement tools to independently interpret, analyze and visualize complex data from PAR and single ventricle physiology patients, including clinical, registry, operational, and survey data (including national data registries). * Identify currently unavailable data elements from available data sets, develop strategies for obtaining necessary data, and prioritize data collection approaches based on needs of division stakeholders. * Maintain comprehensive records of available and obtainable datasets, including data elements, dates, numbers of observations, etc. (this includes developing dashboards for data visualization, geared towards pediatric cardiology patients). * Oversee and maintain access to data resources, ensuring compliance with all local and external regulatory and privacy requirements, including the IRB, funding agencies, and database guidelines. * Devise and implement data quality checks to ensure data are clean, accurate, and ready for analysis. * Refine data pipelines as needed to minimize inaccurate or incomplete data. This includes utilizing Google Cloud platform tools to manage and analyze data. * Serve as the technical expert for the Division of Pediatric Cardiology for all new statistical design. * Directly manage and mentor team members in data quality and management. May telecommute within area of intended employment at employer's discretion. ~ All members of the Department of Pediatrics are engaged in continuous learning and improvement to foster a culture where diversity, equity, inclusion, and justice are central to all aspects of our work. The Department collectively and publicly commits to continuously promoting anti-racism and equity through its policies, programs, and practices at all levels. ~ Stanford University provides pay ranges representing its good faith estimate of what the University reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. The pay range for this position working in the California Bay area is $104,358.00 - $128,038.00 annually. EDUCATION & EXPERIENCE (REQUIRED): Master's in bioinformatics, Biology, Public Health, Biostatistics or a related field and three years' experience as a data analyst, research data analyst or occupation in bio-informatician or in biostatistics. Or, Bachelor's in Bioinformatics, Biology, Public Health, Biostatistics, or a related field and five years' experience as a data analyst, research data analyst or occupation in bio-informatician or in biostatistics. ALSO REQUIRES THREE YEARS OF EXPERIENCE IN: * Bioinformatics, including the analysis of longitudinal data, utilizing programming and query languages including Sql, R and Python, database management. * Domain knowledge (national cardiac registries) of PAR and single ventricle physiology datasets. * Mentoring staff in data analysis and data management. * Preparing complex research data, performing advanced statistical analysis including Cox regression and multivariable modeling for journal publications and presentations. * Working UNIX/Linux environment. * Cloud-based computing platforms such as Google Cloud Platform. * Developing and maintaining live dashboards and complex data visualizations specifically tailored for monitoring and improving outcomes in pediatric cardiology. CERTIFICATIONS & LICENSES: None WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. Additional Information * Schedule: Full-time * Job Code: 4752 * Employee Status: Regular * Grade: I * Department URL: ******************************* * Requisition ID: 105966 * Work Arrangement : Hybrid Eligible
$104.4k-128k yearly 60d+ ago
Bioinformatician/Research Data Analyst 1
Stanford University 4.5
Data analyst job at Stanford University
**School of Medicine, Stanford, California, United States** Information Analytics Post Date Oct 04, 2024 Requisition # 103654 Situated in Stanford's highly dynamic research environment the Curtis Laboratory (**************************************** led by Christina Curtis, PhD, is seeking a bioinformatician/Research Data Analyst 1 to join the Cancer Computational and Systems Biology group. The Curtis Laboratory is administratively situated within the Stanford Cancer Institute and is integrated within Stanford University and the School of Medicine's Departments of Medicine (Oncology) and Genetics. The SCI is part of a Comprehensive National Cancer Institute Cancer Center for cross-disciplinary research in cancer biology involving researchers from oncology, radiobiology, computer science, genetics, statistics, and basic/translational clinical research. Our research couples state-of-the-art computational and experimental techniques to define novel therapeutic targets and biomarkers and to characterize tumor evolution. The successful candidate will be part of an interdisciplinary research team developing novel technological and methodological approaches to improve the diagnosis, treatment and earlier detection of cancer. He/she will analyze and interpret large sequencing datasets by applying and developing bioinformatics and statistical methods for whole genome/exome sequencing, RNA-seq, ATAC-seq, single cell and spatial datasets. The successful candidate will interact closely with other computational and experimental biologists and clinicians to test, validate, and refine hypotheses. This is a fantastic opportunity for a motivated bioinformatician or computational genomicist to join a dynamic team with significant opportunities for scholarship. **Duties include:** + Collect, manage and clean datasets. + Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. + Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. + Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. + Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. + Analyze data processes in documentation. + Collaborate with faculty and research staff on data collection and analysis methods. + Provide documentation based on audit and reporting criteria to investigators and research staff. + Communicate with government officials, grant agencies and industry representatives. * - Other duties may also be assigned **DESIRED QUALIFICATIONS:** + Bachelor's degree (or higher) in Bioinformatics, Computer Science or a related field with one year (min) of relevant experience + Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data + Experience working within a UNIX/Linux environment + Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL + Excellent communication and team skills and fluency in both spoken and written English + Familiarity with machine learning, information theory and signal processing. + Experience with algorithm development + Familiarity with basic molecular biology + Background in cancer biology **EDUCATION & EXPERIENCE (REQUIRED):** Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. **KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):** + Substantial experience with MS Office and analytical programs. + Strong writing and analytical skills. + Ability to prioritize workload. **PHYSICAL REQUIREMENTS*:** + Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. + Occasionally use a telephone. + Rarely writing by hand. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. **WORKING CONDITIONS:** Some work may be performed in a laboratory or field setting. **WORK STANDARDS:** + Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. + Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. + Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,******************************* _The expected pay range for this position is $82,468 to $106,256 per annum._ _Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs._ _At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting_ _a contact form_ _._ _Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._ _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ Additional Information + **Schedule: Full-time** + **Job Code: 4751** + **Employee Status: Regular** + **Grade: G** + **Requisition ID: 103654** + **Work Arrangement : On Site**
$82.5k-106.3k yearly 60d+ ago
Bioinformatician/Research Data Analyst 1
Stanford University 4.5
Data analyst job at Stanford University
Situated in Stanford's highly dynamic research environment the Curtis Laboratory (**************************************** led by Christina Curtis, PhD, is seeking a bioinformatician/Research Data Analyst 1 to join the Cancer Computational and Systems Biology group. The Curtis Laboratory is administratively situated within the Stanford Cancer Institute and is integrated within Stanford University and the School of Medicine's Departments of Medicine (Oncology) and Genetics. The SCI is part of a Comprehensive National Cancer Institute Cancer Center for cross-disciplinary research in cancer biology involving researchers from oncology, radiobiology, computer science, genetics, statistics, and basic/translational clinical research. Our research couples state-of-the-art computational and experimental techniques to define novel therapeutic targets and biomarkers and to characterize tumor evolution. The successful candidate will be part of an interdisciplinary research team developing novel technological and methodological approaches to improve the diagnosis, treatment and earlier detection of cancer. He/she will analyze and interpret large sequencing datasets by applying and developing bioinformatics and statistical methods for whole genome/exome sequencing, RNA-seq, ATAC-seq, single cell and spatial datasets. The successful candidate will interact closely with other computational and experimental biologists and clinicians to test, validate, and refine hypotheses. This is a fantastic opportunity for a motivated bioinformatician or computational genomicist to join a dynamic team with significant opportunities for scholarship. Duties include: * Collect, manage and clean datasets. * Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. * Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. * Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. * Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. * Analyze data processes in documentation. * Collaborate with faculty and research staff on data collection and analysis methods. * Provide documentation based on audit and reporting criteria to investigators and research staff. * Communicate with government officials, grant agencies and industry representatives. * - Other duties may also be assigned DESIRED QUALIFICATIONS: * Bachelor's degree (or higher) in Bioinformatics, Computer Science or a related field with one year (min) of relevant experience * Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data * Experience working within a UNIX/Linux environment * Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL * Excellent communication and team skills and fluency in both spoken and written English * Familiarity with machine learning, information theory and signal processing. * Experience with algorithm development * Familiarity with basic molecular biology * Background in cancer biology EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): * Substantial experience with MS Office and analytical programs. * Strong writing and analytical skills. * Ability to prioritize workload. PHYSICAL REQUIREMENTS*: * Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. * Occasionally use a telephone. * Rarely writing by hand. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORK STANDARDS: * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* The expected pay range for this position is $82,468 to $106,256 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information * Schedule: Full-time * Job Code: 4751 * Employee Status: Regular * Grade: G * Requisition ID: 103654 * Work Arrangement : On Site
$82.5k-106.3k yearly 60d+ ago
Bioinformatician/Research Data Analyst 1
Stanford University 4.5
Data analyst job at Stanford University
**School of Medicine, Stanford, California, United States** Information Analytics Post Date Mar 25, 2025 Requisition # 106164 Situated in Stanford's highly dynamic research environment, The Kalbasi Lab studies the interface between cancer and the immune system to gain new insights that will inform advances in cancer immunotherapy and radiation therapy.. The lab has a special interest in T cell therapies (CAR-T, TCR-T, TIL) and cytokine therapies, and a disease focus on sarcoma, melanoma and other solid tumors. To achieve this goal, the Kalbasi lab is by necessity versatile and multidisciplinary. The lab integrates cell and protein engineering, T cell immunology, cancer biology, cell signaling, genomics and early phase clinical trials. Each of these approaches has the potential to generate large datasets that require computational analytic approaches. This includes genomic sequencing data (RNA-seq, ATAC-seq, TCR-seq, CITE-seq, whole exome-seq), including bulk and single cell approaches, proteomic data (e.g. phosphoproteomics, cytokine data), and some clinical data. The lab also seeks to employ AI and machine learning approaches for protein design. The Kalbasi Laboratory is seeking a Computational Biologist /Bioinformatician/Research Data Analyst 1 to manage and analyze high throughput next generation sequencing data from samples acquired from laboratory experiments, clinical trials of cancer patients, and//or publicly available data, as well as to participate in new protein design strategies using emerging AI-tools. The Kalbasi laboratory is administratively situated within the Stanford University School of Medicine's Department of Radiation Oncology and the Stanford Cancer Institute. As an NCI-designated Comprehensive Cancer Center the Stanford Cancer Institute is a dynamic and stimulating place to work as it maintains the highest level of scientific rigor, institutional support and coordination for the complete range of cancer-related research, including basic, translational, clinical and population-based science. **Duties include:** + Collect, manage and clean datasets. + Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data, and for protein design. + Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. + Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. + Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. + Analyze data processes in documentation. + Collaborate with faculty and research staff on data collection and analysis methods. + Provide documentation based on audit and reporting criteria to investigators and research staff. + Communicate with government officials, grant agencies and industry representatives. _* - Other duties may also be assigned_ **DESIRED QUALIFICATIONS:** + Bachelor's, MS, or PhD degree in Bioinformatics, Computation Biology or Computer Science or a related field with two years of relevant experience. + Strong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data. + Ideal candidates will also have experience with machine learning/AI tools, and experience with or interest in protein design. + Experience and comfort in working within a UNIX/Linux environment. + Background in programming languages such as Python, R, Matlab, Perl. + Good communication and team skills and fluency in both spoken and written English. + Knowledge of techniques for analyzing tumor purity and clonal heterogeneity. + A background in oncology and/or immunology is preferred. + Knowledge of Monte Carlo based statistical methods. + Background in cancer biology. + Familiarity with predictive modeling and machine learning. + Skills in machine learning and data analysis software. **EDUCATION & EXPERIENCE (REQUIRED):** Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. **KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):** + Substantial experience with MS Office and analytical programs. + Strong writing and analytical skills. + Ability to prioritize workload. **PHYSICAL REQUIREMENTS*:** + Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. + Occasionally use a telephone. + Rarely writing by hand. _* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job._ **WORKING CONDITIONS:** Some work may be performed in a laboratory or field setting. **WORK STANDARDS:** + Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. + Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. + Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* _The expected pay range for this position is $80,148 to $99,773 per annum._ _Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs._ _At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (_ _***************************************************** _) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at_ _************************_ _. For all other inquiries, please submit a_ _contact form_ _._ _Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._ _Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job._ Additional Information + **Schedule: Full-time** + **Job Code: 4751** + **Employee Status: Regular** + **Grade: G** + **Requisition ID: 106164** + **Work Arrangement : Hybrid Eligible**
$80.1k-99.8k yearly 60d+ ago
Neuromuscular Research Data Analyst
Stanford University 4.5
Data analyst job at Stanford University
**School of Medicine, Stanford, California, United States** Information Analytics Post Date Nov 12, 2025 Requisition # 107725 Do you want to help Stanford University find better ways to measure strength, function and health for individuals with Neuromuscular Disease including Muscular Dystrophies, Spinal Muscular Atrophy, Amyotrophic Lateral Sclerosis, Inherited Neuropathies, and other conditions? **If you...** + Enjoy working directly with patients and their families in clinic and at research visits. + Are excited to work with people affected by neuromuscular disorders. + Are excited to work with clinicians, scientists, engineers and research associates. + Are exceptionally organized and can balance multiple projects at one time. + Have excellent time management and can meet deadlines. + Work well in a dynamic team utilizing novel technologies to integrate knowledge and answer research questions. + Enjoy learning new skills. + Enjoy translating data to address research gaps. **Then we offer...** + The opportunity to work in a collaborative team of neuromuscular investigators. + The chance to contribute to describing and understanding the impact of treatments in neuromuscular disorders. + Exciting and positive environment where you will always learn new things. + Teamwork and camaraderie. + Competitive full time salary. + Excellent Stanford benefits. The Neuromuscular Division of Neurology is seeking a Research Data Analyst (RDA), with clinical data management experience to utilize knowledge from research tools to conduct and analyze research data assuring efficiency and regulatory compliance; collect, compile and perform statistical analysis, data reports and management. The division is eager to determine novel approaches towards quantifying movement through wearable and video technology and develop novel methods of analyzing MRI data to better characterize disease health for individuals with neuromuscular disease. As disease modifying treatments become available in neuromuscular diseases, we are researching novel approaches to better quantify movement and complement current clinical practice working alongside other professionals in radiology, cardiovascular health, and engineering. This position focuses on clinical data management and primarily focuses on supporting the labs clinical data collection systems. One would expect to be using REDCap database design and form creation regularly while also aligning with administrative and research data governance politics. A successful candidate would serve as the primary data manager for multiple clinical research studies, ensuring data integrity, regulatory compliance, and efficient data flow from collection through analysis. Learning SQL or having experience with Google Cloud would be preferred. Projects involve working with both pediatric and adults with neuromuscular diseases in both a lab and clinical environment. There are opportunities for long-term growth within the team with the ability to gain critical skillsets for a career in biomedical sciences. These studies will be conducted at the Stanford University Medical Center. Interested candidates should include a CV and Cover Letter addressing how your education and experience relates to the position described above. **Duties include*:** + Collect, manage and clean datasets. + Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. + Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. + Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. + Collaborate with faculty and research staff on data collection and analysis methods. + Communicate with government officials, grant agencies and industry representatives. + Design, develop, and maintain REDCap databases. + Data Compliance. _* - Other duties may also be assigned._ **DESIRED QUALIFICATIONS:** + 1-2 years experience in acquiring and/or processing data signals that requires a high level of technical skill and attention to detail. + Proficiency with basic programming and scripts (for example, using R, python, MATLAB, SQL). + Strong general computer skills and ability to quickly learn and master computer programs. + Experience in data science with applied statistics, visual and communicating data. + Proficiency with Microsoft Office, Word, Excel and various industry-oriented electronic data capture programs. + Experience with database, data management, REDCAP, IRB requirements and the Stanford clinical research environment highly desirable. + Ability to work both independently and as part of a diverse multidisciplinary team in a collaborative manner. + Ability to determine workload priorities in an appropriate way to accomplish tasks and goals, meet deadlines. + Takes initiative with good problem solving skills to anticipate and solve problems. + Experience working with patients in a clinic or research setting. + Strong analytical skill. + Good oral and written communication skills to effectively work and publish data with clinicians and researchers. + Excellent organizational skills and attention to detail in maintaining accurate, retrievable records. **EDUCATION & EXPERIENCE (REQUIRED):** Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. **KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):** + Understanding of HIPAA, and GCP guidelines. + Substantial experience with MS Office and analytical programs. + Strong writing and analytical skills. + Ability to prioritize workload; efficient utilization of time management. **PHYSICAL REQUIREMENTS*:** + Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. + Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds. + Rarely kneel, crawl, climb ladders, grasp forcefully, sort and file paperwork or parts, rarely lift, carry, push, and pull objects that weigh 40 pounds or more. + Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. + Occasionally use a telephone. + Rarely writing by hand. _* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job._ **WORKING CONDITIONS:** + Some work may be performed in a laboratory or field setting. + Occasional evening and weekend hours. **WORK STANDARDS:** + Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. + Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. + Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,******************************* _The expected pay range for this position is $80,148 to $99,773 per annum._ _Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs._ _At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (_ _***************************************************** _) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a_ _contact form_ _._ _Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._ _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ Additional Information + **Schedule: Full-time** + **Job Code: 4751** + **Employee Status: Regular** + **Grade: G** + **Requisition ID: 107725** + **Work Arrangement : Hybrid Eligible**
$80.1k-99.8k yearly 60d+ ago
Neuromuscular Research Data Analyst
Stanford University 4.5
Data analyst job at Stanford University
Do you want to help Stanford University find better ways to measure strength, function and health for individuals with Neuromuscular Disease including Muscular Dystrophies, Spinal Muscular Atrophy, Amyotrophic Lateral Sclerosis, Inherited Neuropathies, and other conditions? If you… * Enjoy working directly with patients and their families in clinic and at research visits. * Are excited to work with people affected by neuromuscular disorders. * Are excited to work with clinicians, scientists, engineers and research associates. * Are exceptionally organized and can balance multiple projects at one time. * Have excellent time management and can meet deadlines. * Work well in a dynamic team utilizing novel technologies to integrate knowledge and answer research questions. * Enjoy learning new skills. * Enjoy translating data to address research gaps. Then we offer… * The opportunity to work in a collaborative team of neuromuscular investigators. * The chance to contribute to describing and understanding the impact of treatments in neuromuscular disorders. * Exciting and positive environment where you will always learn new things. * Teamwork and camaraderie. * Competitive full time salary. * Excellent Stanford benefits. The Neuromuscular Division of Neurology is seeking a Research Data Analyst (RDA), with clinical data management experience to utilize knowledge from research tools to conduct and analyze research data assuring efficiency and regulatory compliance; collect, compile and perform statistical analysis, data reports and management. The division is eager to determine novel approaches towards quantifying movement through wearable and video technology and develop novel methods of analyzing MRI data to better characterize disease health for individuals with neuromuscular disease. As disease modifying treatments become available in neuromuscular diseases, we are researching novel approaches to better quantify movement and complement current clinical practice working alongside other professionals in radiology, cardiovascular health, and engineering. This position focuses on clinical data management and primarily focuses on supporting the labs clinical data collection systems. One would expect to be using REDCap database design and form creation regularly while also aligning with administrative and research data governance politics. A successful candidate would serve as the primary data manager for multiple clinical research studies, ensuring data integrity, regulatory compliance, and efficient data flow from collection through analysis. Learning SQL or having experience with Google Cloud would be preferred. Projects involve working with both pediatric and adults with neuromuscular diseases in both a lab and clinical environment. There are opportunities for long-term growth within the team with the ability to gain critical skillsets for a career in biomedical sciences. These studies will be conducted at the Stanford University Medical Center. Interested candidates should include a CV and Cover Letter addressing how your education and experience relates to the position described above. Duties include*: * Collect, manage and clean datasets. * Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. * Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. * Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. * Collaborate with faculty and research staff on data collection and analysis methods. * Communicate with government officials, grant agencies and industry representatives. * Design, develop, and maintain REDCap databases. * Data Compliance. * - Other duties may also be assigned. DESIRED QUALIFICATIONS: * 1-2 years experience in acquiring and/or processing data signals that requires a high level of technical skill and attention to detail. * Proficiency with basic programming and scripts (for example, using R, python, MATLAB, SQL). * Strong general computer skills and ability to quickly learn and master computer programs. * Experience in data science with applied statistics, visual and communicating data. * Proficiency with Microsoft Office, Word, Excel and various industry-oriented electronic data capture programs. * Experience with database, data management, REDCAP, IRB requirements and the Stanford clinical research environment highly desirable. * Ability to work both independently and as part of a diverse multidisciplinary team in a collaborative manner. * Ability to determine workload priorities in an appropriate way to accomplish tasks and goals, meet deadlines. * Takes initiative with good problem solving skills to anticipate and solve problems. * Experience working with patients in a clinic or research setting. * Strong analytical skill. * Good oral and written communication skills to effectively work and publish data with clinicians and researchers. * Excellent organizational skills and attention to detail in maintaining accurate, retrievable records. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): * Understanding of HIPAA, and GCP guidelines. * Substantial experience with MS Office and analytical programs. * Strong writing and analytical skills. * Ability to prioritize workload; efficient utilization of time management. PHYSICAL REQUIREMENTS*: * Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. * Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds. * Rarely kneel, crawl, climb ladders, grasp forcefully, sort and file paperwork or parts, rarely lift, carry, push, and pull objects that weigh 40 pounds or more. * Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. * Occasionally use a telephone. * Rarely writing by hand. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: * Some work may be performed in a laboratory or field setting. * Occasional evening and weekend hours. WORK STANDARDS: * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information * Schedule: Full-time * Job Code: 4751 * Employee Status: Regular * Grade: G * Requisition ID: 107725 * Work Arrangement : Hybrid Eligible
$80.1k-99.8k yearly 60d+ ago
Research Data Analyst 1
Stanford University 4.5
Data analyst job at Stanford University
The Stanford Autonomic Disorders Program in the Department of Neurology & Neurological Sciences, is seeking to hire a Research Data Analyst 1 to manage and analyze large amount of physiological data for clinical projects on autonomic disorders. We are seeking a Research Data Analyst who will work with the team under the guidance of supervisors to organize and maintain a database of autonomic dysfunction in small fiber neuropathies, Long-COVID/PASC, hypersomnia, and aid in the preprocessing and analysis of other physiological and patient-reported data collected in the Autonomic Discords Program. The candidate will work in closely with the investigators in the division to implement and execute analysis pipelines for data collected within the division as well as with collaborators in other divisions and departments. Duties include*: * Collect, manage and clean datasets. * Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. * Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. * Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. * Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. * Analyze data processes in documentation. * Collaborate with faculty and research staff on data collection and analysis methods. * - Other duties may also be assigned. DESIRED QUALIFICATIONS: * Minimum 2 years of Statistics, Biostatistics, Bioinformatics or related field experience preferred. * Experience using machine learning algorithms in Prism, MATLAB, and Python. * Skilled in R, SQL, C++ (STL), Frameworks and Libraries:, Pandas, NumPy, PyTorch. * Computer vision and machine learning (e.g., image segmentation, clustering, and classification models). * Familiarity with REDCap, Excel-based data capture, and research documentation. * Ability to multi-task various projects with different timelines. * Ability to collaborate with senior investigators. * Relevant background in Neuroscience, Neurology, Cognitive Science, Psychology or related field. * Strong communication of analytical findings to both clinical and research teams. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative Neuroscience, Neurology, Cognitive Science, Psychology or related field executing data analysis. Master's degree preferred. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): * Substantial experience with MS Office and analytical programs such as Python, R, SQL, C++ (STL). * Strong writing and analytical skills. * Ability to prioritize workload. * High level of self-motivation and ability to work independently. * Resourcefulness, careful attention to detail, and strong organizational skills. * High tolerance for ambiguity, demonstrated flexibility, and a willingness to accept new responsibilities. PHYSICAL REQUIREMENTS*: * Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. * Occasionally use a telephone. * Rarely writing by hand. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORK STANDARDS: * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information * Schedule: Full-time * Job Code: 4751 * Employee Status: Regular * Grade: G * Requisition ID: 107775 * Work Arrangement : Hybrid Eligible
$80.1k-99.8k yearly 53d ago
Bioinformatician/Research Data Analyst 1
Stanford University 4.5
Data analyst job at Stanford University
Situated in Stanford's highly dynamic research environment, The Kalbasi Lab studies the interface between cancer and the immune system to gain new insights that will inform advances in cancer immunotherapy and radiation therapy.. The lab has a special interest in T cell therapies (CAR-T, TCR-T, TIL) and cytokine therapies, and a disease focus on sarcoma, melanoma and other solid tumors. To achieve this goal, the Kalbasi lab is by necessity versatile and multidisciplinary. The lab integrates cell and protein engineering, T cell immunology, cancer biology, cell signaling, genomics and early phase clinical trials. Each of these approaches has the potential to generate large datasets that require computational analytic approaches. This includes genomic sequencing data (RNA-seq, ATAC-seq, TCR-seq, CITE-seq, whole exome-seq), including bulk and single cell approaches, proteomic data (e.g. phosphoproteomics, cytokine data), and some clinical data. The lab also seeks to employ AI and machine learning approaches for protein design. The Kalbasi Laboratory is seeking a Computational Biologist /Bioinformatician/Research Data Analyst 1 to manage and analyze high throughput next generation sequencing data from samples acquired from laboratory experiments, clinical trials of cancer patients, and//or publicly available data, as well as to participate in new protein design strategies using emerging AI-tools. The Kalbasi laboratory is administratively situated within the Stanford University School of Medicine's Department of Radiation Oncology and the Stanford Cancer Institute. As an NCI-designated Comprehensive Cancer Center the Stanford Cancer Institute is a dynamic and stimulating place to work as it maintains the highest level of scientific rigor, institutional support and coordination for the complete range of cancer-related research, including basic, translational, clinical and population-based science. Duties include: * Collect, manage and clean datasets. * Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data, and for protein design. * Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. * Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. * Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. * Analyze data processes in documentation. * Collaborate with faculty and research staff on data collection and analysis methods. * Provide documentation based on audit and reporting criteria to investigators and research staff. * Communicate with government officials, grant agencies and industry representatives. * - Other duties may also be assigned DESIRED QUALIFICATIONS: * Bachelor's, MS, or PhD degree in Bioinformatics, Computation Biology or Computer Science or a related field with two years of relevant experience. * Strong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data. * Ideal candidates will also have experience with machine learning/AI tools, and experience with or interest in protein design. * Experience and comfort in working within a UNIX/Linux environment. * Background in programming languages such as Python, R, Matlab, Perl. * Good communication and team skills and fluency in both spoken and written English. * Knowledge of techniques for analyzing tumor purity and clonal heterogeneity. * A background in oncology and/or immunology is preferred. * Knowledge of Monte Carlo based statistical methods. * Background in cancer biology. * Familiarity with predictive modeling and machine learning. * Skills in machine learning and data analysis software. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): * Substantial experience with MS Office and analytical programs. * Strong writing and analytical skills. * Ability to prioritize workload. PHYSICAL REQUIREMENTS*: * Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. * Occasionally use a telephone. * Rarely writing by hand. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORK STANDARDS: * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at ************************. For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Additional Information * Schedule: Full-time * Job Code: 4751 * Employee Status: Regular * Grade: G * Requisition ID: 106164 * Work Arrangement : Hybrid Eligible
$80.1k-99.8k yearly 60d+ ago