Biostatistician jobs at UT Health San Antonio

NORC at the University of Chicago seeks a talented Senior Data Scientist I to join our Health Care Evaluation Research Department. The Senior Data Scientist I will play a strategic role in working with our research teams to produce valuable insights for our clients. This position supports the development of the strategy and vision for large data analysis projects; may manage both the activities and the work product of data analysts and/or data scientists; provide input and guidance to task leaders especially regarding data acquisition, questionnaire content, data analysis, and overall data dissemination; design, develop, and deploy algorithms, models, and work flows to discover valuable information in large volumes of data from various sources; bring structure to large data sets; evaluate the data, construct models, create business applications, and work closely with organizational leaders to provide input into strategic business implications for the organization. The Senior Data Scientist I work collaboratively with the project team. NORC recognizes that talented and skilled researchers live throughout the U.S. and actively supports remote work arrangements. As a condition of employment, all NORC employees and contractors - including those working remotely - must be fully vaccinated (as defined by current CDC guidance) against COVID-19. DEPARTMENT: Health Care Evaluation NORC's expertise and ongoing work in health care delivery and financing - including access to insurance, payment and delivery-system reform, benefit design, and quality measurement - advance stakeholders' understanding of policies and programs, facilitate implementation, and contribute to important improvements in cost and quality. NORC's expert staff has extensive knowledge of all aspects of health care delivery, from private marketplaces and employer-sponsored insurance to Medicare and Medicaid; from large health care systems to small clinics; and from the needs of children to those of older adults, people with disabilities, and ethnic and racial minorities. Our expert team includes social scientists that acquire, collect, and analyze data from health care organizations and patients; evaluators; health services researchers; health-policy analysts; and professionals with first-hand experience running and supporting health care programs. RESPONSIBILITIES: Work with terabytes of health and administrative data, and create analytic data products therefrom to support various healthcare research and technical assistance projects. Implement specifications for rigorous study designs, and measures of performance such as cost and quality, to evaluate the impact of health care programs and policies. Identify data from multiple sources, perform analysis and recommend applications to add value to project and corporate initiatives; Develops the platforms and tools to enhance the organization's analytic capabilities. Work closely with project leaders on implications of the data for processes and decisions. Recommend methodology for data management, merging, cleaning, transforming and harmonizing data. Using a degree of creativity and latitude, develop hypotheses, design experiments and test feasibility of proposed initiatives. Engage in business development activities including authoring various sections of technical proposals. Manage contracts and work closely with clients to ensure that contractual requirements (deliverables and timelines) and client expectations are met using the highest standards of quality and collegiality. Train and supervise staff on specific protocols and tasks. REQUIRED SKILLS: Bachelor's degree in Math, Statistics, Computer Science, Data Science, or Social Science related field. Masters Degree or higher strongly preferred. At least 6 years experience (at least 9 years experience if Bachelor's degree) in positions of increasing responsibility, working with large datasets and conducting statistical and quantitative modeling, melding analytics with strong programming, data mining, clustering and segmentation. Experience working with health care datasets and working directly with federal or states health data. Working knowledge of different types of data and of the methodologies and technologies for integrating data. Strong data programming skills in statistical packages and database tools such as SAS, SQL, Python, R, Tableau, Hadoop, Hive, MapReduce and/or other large data systems. Strong technical writing skills, strong verbal skills; and data visualization/presentation. Ability to explain technology, techniques and approaches to others. Excellent oral and written communication skills and aptitude in leading and working with project teams, coordinating multiple projects. Strong problem solving skills, ability to organize and prioritize work assignments to meet project needs. Occasional travel to client sites and business meetings may be required. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an affirmative action, equal opportunity employer that values and actively seeks diversity in the workforce. NORC evaluates qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, and other legally- protected characteristics.

Minimum Qualifications Terminal Doctoral Degree (Ph.D.) in Biostatistics, Statistics, Epidemiology, or related field. Academic experience and credentials to be awarded rank at level commensurate with experience Preferred Qualifications Applicants with experience supporting research and teaching in the areas of chronic disease, maternal child health, aging, cancer, health disparities, and health informatics are particularly encouraged to apply.

Posting Detail Information Working TitleOpen Pool - Assistant Data Scientist - Various locations Research Professional PositionNo Posting Number202501542AP TypeAdmin Professional/ Research Professional Classification Title Number of Vacancies Work Hours/Week Proposed Annual Salary Range$61,111 - $76,397. Salaries will be adjusted based on the cost of living for the selected duty station. Employee Benefits Colorado State University is not just a workplace; it's a thriving community that's transforming lives and improving the human condition through world-class teaching, research, and service. With a robust benefits package, collaborative atmosphere, and focus on work-life balance, CSU is where you can thrive, grow, and make a lasting impact. + Review our detailed benefits information here. (*************************************************************************************** + Explore the additional perks of working at CSU here. + For the total value of CSU benefits in addition to wages, use our compensation calculator (******************************************************** . + Lastly, click here for more information about why Fort Collins is consistently ranked in the top cities to live in (************************************************************** ! Desired Start Date Position End Date (if temporary) To ensure full consideration, applications must be received by 11:59pm (MT) on12/31/2025 Description of Work Unit CEMML is a research, education and service unit within the Warner College of Natural Resources at Colorado State University ( CSU ). CEMML applies the latest and most appropriate science to promote the sustainable management of natural and cultural resources on Department of Defense (DoD) and other public lands. We provide technical support, conduct applied research, and offer career development and learning opportunities to support resource stewardship. We collaborate with our sponsors and within CSU to resolve complex environmental issues, leaving a legacy of science-based decisions that sustain our resources for future generations. To learn more about CEMML's contributions to land management, our mission, vision, and values, visit******************************** Position Summary The Center for Environmental Management of Military Lands ( CEMML ) at CSU is seeking applicants to work with the National Park Service ( NPS ), Inventory and Monitoring Division as Assistant Data Scientist to coordinate and participate in a team focused on many aspects of the data life cycle. These positions will assist with data management activities across 2-3 network offices. Positions are contingent on funding. These positions require a federal background investigation and favorable adjudication prior to starting. Anticipated start date is October 2025 - October 2027. Duration of the position is expected to last a minimum of two years. Actual length of service will depend on specific technical needs of the office, funding, and applicant performance. Official administration of the position will be from CEMML . Work may include travel to network offices across the country. These positions will assist Inventory & Monitoring Division staff in creating and maintaining the tools that are used to collect, manage, visualize, and publish data collected by the program, with a special emphasis on the data publication process. These data relate to a diverse list of topics and may include hydrology, vegetation, large mammals, climate, birds, and more. Data collection assistance could involve designing and entering data in data collection apps such as ESRI Survey 123 and Field Maps. Data management tasks include writing scripts to look for data quality issues, automating tasks, and preparing metadata. Visualizing data includes creating graphs and other visualizations in R, Power BI, AGOL dashboards and other approved platforms. Data publication tasks include creating scripts to generate EML metadata, machine readable datasets, and reports using tools such as R, R Markdown and Python. LOCATIONS These roles support several networks and may be based in one of the locations listed below. Remote work may be an option in certain cases. If you're interested in this arrangement, we encourage you to share your reasons during the application process. To ensure success in a remote setting, candidates should have a stable internet connection and be available during the host network's core working hours. During the application process you will be asked to select your preferred location. We encourage you to choose the site that best aligns with your personal and professional goals. There will be one hire for each of the regions/networks. + Alaska (Anchorage, AK; Fairbanks, AK; Fort Collins, CO) + Coastal (Sausilito, CA; Fort Collins, CO) + Colorado Plateau (Moab, UT; Fort Collins, CO) + Desert (Las Cruces, NM; Tucson, AZ; Fort Collins, CO) + Eastern (Asheville, NC; Cave City, KY; Fort Collins, CO) + Marine (San Diego, CA; Palmetto Bay, FL; Volcano, HI; Fort Collins, CO) + Northeast (Woodstock, VT; Fort Collins, CO) + Pacific Northwest (Port Angeles, WA; Ashland, OR; Juneau, AK; Fort Collins, CO). + Southern (Athens, GA; Lafayette, LA; Fort Collins, CO) Required Job Qualifications + BS or BA degree in computer science, information technology, geographic information systems, geography, biology, ecology, environmental science, or a related field. + Experience programming in the R statistical computing software or Python. + Experience creating metadata, conducting QA/QC of ecological inventory & monitoring data, and documenting procedures to meet open data/open science requirements. + Strong communication skills when working with various external and internal partners. + Experience creating data visualization and data dashboards. The successful candidate must be legally authorized to work in the U.S. by proposed start date; CEMML will not provide visa sponsorship for this position. Preferred Job Qualifications + One year of related work experience. + Experience using and managing relational databases (Access, SQL Server). + Experience utilizing geospatial data and GIS (ArcGIS Pro and ArcGIS Online). + Experience working in natural resources or with ecological data. + Demonstrated verbal and written communication skills to communicate and document workflow status and process with program staff. + Demonstrated ability to ascertain the essence of an issue and effectively collaborate in a professional manner with an interdisciplinary team of data managers, ecologists, and park staff to develop and implement solutions. + Self-motivated with acute attention to detail. + Experience working in a collaborative environment. + Have a valid driver's license, the ability to obtain a driver's license by the employment start date, or access to a car and licensed driver. Essential Duties Application Details Special Instructions to Applicants Applicants must meet the minimum qualifications in the announcement to be considered for hire. Mailed or emailed applications will not be accepted. Upload each of the items below individually as a Word Document (.doc), PDF (.pdf), or Rich Text Format (.rtf). Please note that incomplete applications cannot be considered. A complete application consists of: + Statement of Qualifications - please clearly describe your education and experience (including certifications, licenses, and program experience) in the field that you are interested in being considered for; upload to the 'Cover Letter' slot) + Resume + References - please include within your application contact information for 3 professional references including at least one supervisor. References will not be contacted without prior notification to candidates. Please note, applicants may redact information from their application materials that identifies their age, date of birth, or dates of attendance at or graduation from an educational institution. When a position matching your selection becomes available, and if your application is selected to move forward, a search committee member will reach out with further information. If you wish to withdraw your application from the Open Pool, you can do so at any time at **************************** This pool is valid through December 31, 2025, at which time the pool will expire. CSU is committed to full inclusion of qualified individuals. If you are needing assistance or accommodations with the search process, please reach out to the listed search contact. Conditions of EmploymentPre-employment Criminal Background Check (required for new hires) Search ContactJessica Horvath (*****************************) EEO Colorado State University ( CSU ) provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Background Check Policy Statement Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks for the finalist before a final offer. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so. References Requested References Requested Minimum Requested3 Maximum Requested3 Supplemental Questions Required fields are indicated with an asterisk (*). + * Please select the regions/networks that you would like to be considered for: + Alaska (Anchorage, AK; Fairbanks, AK; Fort Collins, CO + Coastal (Sausilito, CA; Fort Collins, CO) + Colorado Plateau (Moab, UT; Fort Collins, CO) + Desert (Las Cruces, NM; Tucson, AZ; Fort Collins, CO) + Eastern (Asheville, NC; Cave City, KY; Fort Collins, CO) + Marine (San Diego, CA; Palmetto Bay, FL; Volcano, HI; Fort Collins, CO) + Northeast (Woodstock, VT; Fort Collins, CO) + Pacific Northwest (Port Angeles, WA; Ashland, OR; Juneau, AK; Fort Collins, CO) + Southern (Athens, GA; Lafayette, LA; Fort Collins, CO) + * Are you legally authorized to work in the U.S. by proposed start date (as CEMML will not provide visa sponsorship for this position)? + Yes + No + * Do you have a BS or BA degree in computer science, information technology, geographic information systems, geography, biology, ecology, environmental science, or a related field? + Yes + No + * Do you have experience programming in the R statistical computing software or Python? + Yes + No + * Do you have experience creating metadata, conducting QA/QC of ecological inventory & monitoring data, and documenting procedures to meet open data/open science requirements? + Yes + No + * Do you have strong communication skills when working with various external and internal partners? + Yes + No + * Do you have experience creating data visualization and data dashboards? + Yes + No Applicant Documents Required Documents + Cover Letter + Resume Optional Documents

Join one of the nation's most comprehensive academic medical centers, UChicago Medicine, as a TIBCO Integration Programmer - Senior in our IT Enterprise Architecture department. This is a remote, work from home opportunity and you may be based outside of the greater Chicagoland area. In this role, the TIBCO Integration Programmer - Senior, formulates and defines project scope and objectives through research and fact-finding to develop or modify in-house developed applications and/or programs. Is competent to work on most phases of application development lifecycle activities that include design and code but requires instruction and guidance in other phases of the project development lifecycle, such as Analysis, Test, and Conversion. This position is responsible for documenting and supporting these in-house developed applications and/or programs. This person will develop, configure, and support Integration components using TIBCO integration platform TIBCO BusinessWorks Container Edition (BW CE), EMS, CEP, ActiveSpaces, and Managed File Transfer (MFT). Essential Job Functions Participates in system development lifecycle activities as assigned: design, code, test and debug, document and maintain these programs with general supervision Develop and maintain integration solutions using TIBCO Business Works Container Edition (BW CE) for cloud-native or containerized deployments Develop detailed program specifications while ensuring that expected application performance levels are achieved by managing interfaces, service levels, standards, and configurations Develop, unit tests, debugs, documents, and maintains TIBCO integration components Collaborate closely with teams in all stages of software development lifecycle including design, development, and testing of the system Establish, refine, and integrate development and test environment tools and software as needed Configure and maintain MFT (Managed File Transfer) profiles Provides applications support, and works with vendors and infrastructure team members to support more complex issues Participates in projects leveraging a mature SDLC from analysis and requirements documentation, design, test plan development, testing, and launch of applicable system elements Think strategically using data to drive decisions and solutions May perform research and fact-finding to develop or modify moderately complex information systems Participate in scheduled weekend and evening on call support rotation Monitor operating efficiency and organizational needs of existing application systems, and identify opportunities to fine-tune and optimize applications of developed projects and recommend technical solutions Demonstrates proficiency in the use of methodologies and standards as established through the Project Management Office (PMO) Troubleshoots application system problems and makes improvements as needed Analyzes and implements/develops solutions for production or testing problems, and seeks support when necessary Identifies and documents standards for operating the application or program Follows and implements change control standards and procedure Qualifications Associate or bachelor's degree in computer science or technical area preferred, or equivalent training or work experience Minimum of 4 years of directly applicable experience in systems analysis, programming, and technical design At least 2 years of Hands-on experience developing and supporting integrations using the TIBCO platform, including: TIBCO Business Works Container Edition (BW CE), TIBCO EMS (Enterprise Message Service), TIBCO Active Spaces, TIBCO Business Events / CEP Proficiency in TIBCO development tools and integration patterns Experience working with REST/SOAP APIs, WSDL, JSON, XML, and XSLT, FHIR services, JSON, OAuth, Message Queue, Integration/File transfer patterns, and SQL experience with stored procedures / Database triggers. Strong command of Java, UNIX Shell scripting, and SQL Understanding of secure file transfer protocols (SFTP, AS2, HTTPS) Familiarity with CI/CD pipelines (GitHub, Azure DevOps, Jenkins) and YAML Programming Languages, Java, UNIX Shell scripting, and XML technologies including XSLT, XPATH, XSD. Basic understanding of HL7 standards Proven skills in problem solving Ability to thrive in high-pressure environments by exemplifying outstanding technical, analytical, management, and problem-solving skills Must work well in a team environment and be able to partner with both business and technical team members Excellent oral and written communication skills and good interpersonal skills Experience in a health care environment helpful Proficiency in the programming language /tools used in the position Position Details Job Type/FTE: Full Time (1.0 FTE) Shift: Days Job Location: Remote Unit/Department: IT Enterprise Architecture - Hyde Park CBA Code: Non-Union Why Join Us We've been at the forefront of medicine since 1899. We provide superior healthcare with compassion, always mindful that each patient is a person, an individual. To accomplish this, we need employees with passion, talent and commitment… with patients and with each other. We're in this together: working to advance medical innovation, serve the health needs of the community, and move our collective knowledge forward. If you'd like to add enriching human life to your profile, UChicago Medicine is for you. Here at the forefront, we're doing work that really matters. Join us. Bring your passion. UChicago Medicine is growing; discover how you can be a part of this pursuit of excellence at: UChicago Medicine Career Opportunities UChicago Medicine is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, ethnicity, ancestry, sex, sexual orientation, gender identity, marital status, civil union status, parental status, religion, national origin, age, disability, veteran status and other legally protected characteristics. As a condition of employment, all employees are required to complete a pre-employment physical, background check, drug screening, and comply with the flu vaccination requirements prior to hire. Medical and religious exemptions will be considered for flu vaccination consistent with applicable law. Compensation & Benefits Overview UChicago Medicine is committed to transparency in compensation and benefits. The pay range provided reflects the anticipated wage or salary reasonably expected to be offered for the position. The pay range is based on a full-time equivalent (1.0 FTE) and is reflective of current market data, reviewed on an annual basis. Compensation offered at the time of hire will vary based on candidate qualifications and experience and organizational considerations, such as internal equity. Pay ranges for employees subject to Collective Bargaining Agreements are negotiated by the medical center and their respective union. Review the full complement of benefit options for eligible roles at Benefits - UChicago Medicine .

Join one of the nation's most comprehensive academic medical centers, UChicago Medicine, as a TIBCO Integration Programmer - Senior in our IT Enterprise Architecture department. This is a remote, work from home opportunity and you may be based outside of the greater Chicagoland area. In this role, the TIBCO Integration Programmer - Senior, formulates and defines project scope and objectives through research and fact-finding to develop or modify in-house developed applications and/or programs. Is competent to work on most phases of application development lifecycle activities that include design and code but requires instruction and guidance in other phases of the project development lifecycle, such as Analysis, Test, and Conversion. This position is responsible for documenting and supporting these in-house developed applications and/or programs. This person will develop, configure, and support Integration components using TIBCO integration platform TIBCO BusinessWorks Container Edition (BW CE), EMS, CEP, ActiveSpaces, and Managed File Transfer (MFT). Essential Job Functions * Participates in system development lifecycle activities as assigned: design, code, test and debug, document and maintain these programs with general supervision * Develop and maintain integration solutions using TIBCO Business Works Container Edition (BW CE) for cloud-native or containerized deployments * Develop detailed program specifications while ensuring that expected application performance levels are achieved by managing interfaces, service levels, standards, and configurations * Develop, unit tests, debugs, documents, and maintains TIBCO integration components * Collaborate closely with teams in all stages of software development lifecycle including design, development, and testing of the system * Establish, refine, and integrate development and test environment tools and software as needed * Configure and maintain MFT (Managed File Transfer) profiles * Provides applications support, and works with vendors and infrastructure team members to support more complex issues * Participates in projects leveraging a mature SDLC from analysis and requirements documentation, design, test plan development, testing, and launch of applicable system elements * Think strategically using data to drive decisions and solutions * May perform research and fact-finding to develop or modify moderately complex information systems * Participate in scheduled weekend and evening on call support rotation * Monitor operating efficiency and organizational needs of existing application systems, and identify opportunities to fine-tune and optimize applications of developed projects and recommend technical solutions * Demonstrates proficiency in the use of methodologies and standards as established through the Project Management Office (PMO) * Troubleshoots application system problems and makes improvements as needed * Analyzes and implements/develops solutions for production or testing problems, and seeks support when necessary * Identifies and documents standards for operating the application or program * Follows and implements change control standards and procedure Qualifications * Associate or bachelor's degree in computer science or technical area preferred, or equivalent training or work experience * Minimum of 4 years of directly applicable experience in systems analysis, programming, and technical design * At least 2 years of Hands-on experience developing and supporting integrations using the TIBCO platform, including: TIBCO Business Works Container Edition (BW CE), TIBCO EMS (Enterprise Message Service), TIBCO Active Spaces, TIBCO Business Events / CEP * Proficiency in TIBCO development tools and integration patterns * Experience working with REST/SOAP APIs, WSDL, JSON, XML, and XSLT, FHIR services, JSON, OAuth, Message Queue, Integration/File transfer patterns, and SQL experience with stored procedures / Database triggers. * Strong command of Java, UNIX Shell scripting, and SQL * Understanding of secure file transfer protocols (SFTP, AS2, HTTPS) * Familiarity with CI/CD pipelines (GitHub, Azure DevOps, Jenkins) and YAML * Programming Languages, Java, UNIX Shell scripting, and XML technologies including XSLT, XPATH, XSD. * Basic understanding of HL7 standards * Proven skills in problem solving * Ability to thrive in high-pressure environments by exemplifying outstanding technical, analytical, management, and problem-solving skills * Must work well in a team environment and be able to partner with both business and technical team members * Excellent oral and written communication skills and good interpersonal skills required * Experience in a health care environment helpful * Proficiency in the programming language /tools used in the position required Position Details * Job Type/FTE: Full Time (1.0 FTE) * Shift: Days * Job Location: Remote * Unit/Department: IT Enterprise Architecture - Hyde Park * CBA Code: Non-Union Why Join Us We've been at the forefront of medicine since 1899. We provide superior healthcare with compassion, always mindful that each patient is a person, an individual. To accomplish this, we need employees with passion, talent and commitment… with patients and with each other. We're in this together: working to advance medical innovation, serve the health needs of the community, and move our collective knowledge forward. If you'd like to add enriching human life to your profile, UChicago Medicine is for you. Here at the forefront, we're doing work that really matters. Join us. Bring your passion. UChicago Medicine is growing; discover how you can be a part of this pursuit of excellence at: UChicago Medicine Career Opportunities UChicago Medicine is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, ethnicity, ancestry, sex, sexual orientation, gender identity, marital status, civil union status, parental status, religion, national origin, age, disability, veteran status and other legally protected characteristics. As a condition of employment, all employees are required to complete a pre-employment physical, background check, drug screening, and comply with the flu vaccination requirements prior to hire. Medical and religious exemptions will be considered for flu vaccination consistent with applicable law. Compensation & Benefits Overview UChicago Medicine is committed to transparency in compensation and benefits. The pay range provided reflects the anticipated wage or salary reasonably expected to be offered for the position. The pay range is based on a full-time equivalent (1.0 FTE) and is reflective of current market data, reviewed on an annual basis. Compensation offered at the time of hire will vary based on candidate qualifications and experience and organizational considerations, such as internal equity. Pay ranges for employees subject to Collective Bargaining Agreements are negotiated by the medical center and their respective union. Review the full complement of benefit options for eligible roles at Benefits - UChicago Medicine.

ABOUT US Do you have a passion for higher education? Do you want to make a positive impact on the college admissions process? Our staff help to remove barriers and encourage students to forge their path to a better future. Common App is a national not-for-profit organization dedicated to the pursuit of access, equity, and integrity in the college admission process. Each year we support more than 1 million students, one-third of whom are first-generation, as they apply to our more than 1100 diverse member colleges & universities using the Common App's free online application. If you are an experienced Data Scientist professional and want to be part of a mission-driven non-profit that uses innovative technology to advance the college admission process, Common App may be a great match for you. Common App is currently searching for a Data Scientist, Data Operations. RESPONSIBILITIES The Data Scientist position is charged with helping to build the organization's evolving data analytic and research function. Reporting to the Director of Data Science, Data Operations, the individual will be engaged with all aspects of the data operations function, including the development of internal and external-facing business intelligence products, oversight of data warehousing, and analyses and reports supporting Common App's organizational priorities and strategic initiatives. The Data Scientist will build efficient systems, processes, and workflows to execute the data operations agenda. They will produce and maintain ETL processes, tables, and visualizations supporting Common App's commitment to access and equity across the organization's functional areas. They will also collaborate closely with our Technology Services (Data Warehousing Engineering), Product Strategy, and Data Analytics and Research teams to maximize the impact of the data warehouse. Our organization is dedicated to reimagining college admissions to be more simple, logical, joyful, and equitable. Additionally, we hope to expand access to more low- and middle-income students via partnerships and innovations, leverage our data and research to be a voice for equity in the admissions process, and connect students to financial aid resources, information, and opportunities. QUALIFICATIONS This role requires: * Candidates must live in the United States. * Willing to travel to attend twice annual Common App Retreat. * Bachelors degree in quantitative social sciences discipline (e.g., Public Policy, Economics, Education Policy, Education Measurement, Psychometrics, Computational Psychology, etc.) or related quantitative field (e.g., Data Science, Statistics); or an equivalent combination of education and experience. * 4-6 years of related experience: data reporting, SQL, database architecture, ETL procedures, data analytics, data mining, data operations, and data quality. Or an equivalent combination of education and experience. * Experience in designing and implementing data warehousing, reporting, and analytic systems. * Experience working with and validating imperfect data. * Experience with descriptive and inferential statistics. * Experience working with National Center for Education Statistics, Census, College Scorecard, National Student Clearinghouse, Integrated Postsecondary Education Data System, and/or other publicly available datasets relevant to education. * Fluent in data manipulation and coding with SQL and/or R. * Understanding of the strategic context of Common Application's role in the higher education industry. * Strong interpersonal skills and service orientation. * Proven ability to communicate data and research findings to non-technical audiences. * Ability to work effectively in a collaborative and diverse environment The ideal candidate will possess: * Master's or doctorate degree in a quantitative discipline and at least one year of related experience. * 2-4 years of related experience with data visualization (Tableau, R preferred). * 2-4 years of related experience with Atlassian tools, Git, Databricks, AWS Sagemaker, or S3. * Fluent data manipulation and coding with tools such as SQL, Python, Tableau, and R. * Experience working with Agile frameworks for cross-functional, product-minded collaboration. * Teaching and supporting non-data experts in the use and interpretation of data. * A passion for higher education is a plus. PAY RANGE * $95,000 - $99,134.10 Common App is a virtual first environment. We value our employees' time and efforts. Our commitment to your success is enhanced by our competitive salary and an extensive benefits package including: * Work-Life balance * Virtual-first office * Paid Time Off (PTO) * Seven company-wide holidays * Nine floating holidays* * Sick leave * Monthly mental health day * floating holidays prorated depending on start date * Virtual-first support * Choice of PC of MAC laptop * May choose an external monitor, keyboard, mouse, and/or headset * One-time office set-up stipend * Monthly remote work stipend * Monthly mobile stipend * Financial security * Market-based salaries * Performance-based bonus * 403(b) retirement plan * 5% company contribution * additional 5% company match * 3-year vesting schedule * Participation may begin immediately * Health & wellness * Choice of two health insurance plans * Health Savings Account, depending on health plan selection * Medical Flexible Savings Account, depending on health plan selection * Vision insurance * Dental insurance * Insurance coverage begins on the date of hire * Dependent Care Flexible Spending Account * Maven virtual clinic for women's and family health * Company provided life and ad&d insurance * Opportunity to purchase additional life insurance for self, spouse, and dependents * Company provided short and long-term disability insurance * Career development * Budgeted annual funds for professional development * Growth opportunities within the company * Additional perks * Mutual of Omaha Employee Assistance Program * Mutual of Omaha will preparation services * Mutual of Omaha travel assistance * Payroll dedication pet insurance through PinPaws * 1Password family account We work to maintain the best possible environment for our staff, where people can learn and grow. We strive to provide a diverse, collaborative, team-oriented, creative environment where each person feels encouraged to contribute to our processes, decisions, planning, and culture. HOW DO I APPLY To apply for this opportunity, send your resume and cover letter with salary expectations. PROTECTING YOUR PERSONAL INFORMATION: During the recruiting process, please note that Common App will never: * Provide a job offer without an interview * Ask for payment to process documents, purchase equipment or for any other reason * Request banking or credit card information * Direct you to third-party services to obtain visas or other documentation As we work alongside you through our recruitment process, please remain alert and never provide financial information or payment to anyone claiming to offer a job opportunity. If you believe you're a victim of a job scam, report it to the Federal Trade Commission (FTC) or your state attorney general. To learn more about job scams, read the FBI's public service announcement or visit the FTC site.

Job DescriptionRequired Skills: Bachelor's and Master's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). Five years of experience analyzing datasets and developing analytics, five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience. • Python and object oriented programming• Analytic development within Linux environment• Experience with DataFrames (Pandas or Spark)• Understanding of data science concepts Desired Skills::• PySpark and/or distributed computing• Experience working in cloud environments (Azure, AWS) ** This position will have up to 60% telework. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Required Skills: Bachelor's and Master's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). Five years of experience analyzing datasets and developing analytics, five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience. • Python and object oriented programming• Analytic development within Linux environment• Experience with DataFrames (Pandas or Spark)• Understanding of data science concepts Desired Skills::• PySpark and/or distributed computing• Experience working in cloud environments (Azure, AWS) ** This position will have up to 60% telework.

Department: IT - BI Finance/HCM/Ops Contract Months:12 Salary Range: $92,540.00 - $152,691.00 Academic Year: 25-26 The Senior Data Scientist - Strategic Data Intelligence leads advanced analytics, modeling, and predictive insights for Houston ISD's enterprise systems. This role focuses on data from Finance, Budgeting, Procurement, HR, and other ERP domains. The Senior Data Scientist works across departments to develop models that inform operational decision-making, forecast resource needs, and identify efficiency opportunities. The role plays a key part in ensuring HISD leverages Microsoft Fabric and Power BI to build intelligent, automated data tools that support a modern, cloud-based ERP landscape. MAJOR DUTIES & RESPONSIBILITIES 1. Build and maintain statistical and machine learning models using data from enterprise systems. 2. Partner with Finance, HR, Procurement, and Budgeting teams to understand strategic data needs. 3. Develop forecasts, classification models, or cluster analyses to optimize operations. 4. Create executive dashboards, simulations, and decision-support tools using Power BI and Microsoft Fabric. 5 Lead efforts to clean, normalize, and combine data from Oracle Fusion, legacy SAP, and other platforms. MAJOR DUTIES & RESPONSIBILITIES CONTINUED 6. Publish clear documentation and visual explanations of findings to both technical and non-technical audiences. 7. Collaborate with data engineers and architects to ensure models are reproducible and scalable. 8. Evaluate external datasets and economic indicators to enhance district forecasting. 9. Mentor other analysts and data professionals within the department. 10. Perform other job-related duties as assigned. EDUCATION Master's degree in data science, statistics, applied mathematics, or related quantitative field required. Ph.D. preferred. * Applicants who do not meet these education qualifications may be considered if they have a unique combination of education and work experiences that indicate potential for success in this role. WORK EXPERIENCE Minimum of 6 years in data science, analytics, or quantitative research. Experience with ERP or operational systems in education, government, or large enterprises preferred. SKILL AND/OR REQUIRED LICENSING/CERTIFICATION * Advanced experience with Python, R, or other statistical programming languages * Strong SQL and data modeling skills * Experience using Power BI and Microsoft Fabric for data analysis * Knowledge of ERP data structures (finance, HR, procurement) * Strong communication and data storytelling abilities * Preferred certifications: Microsoft Certified: Data Scientist Associate, Azure Data Scientist Associate LEADERSHIP RESPONSIBILITIES Serves as a senior contributor and thought leader within the Strategic Data Intelligence team. May lead projects or mentor junior analysts. WORK COMPLEXITY/INDEPENDENT JUDGMENT Applies independent judgment to solve complex, ambiguous problems. Chooses modeling approaches, variables, and algorithms based on context and stakeholder needs. BUDGET AUTHORITY May provide input on software, tools, or external data subscriptions needed to support modeling. PROBLEM SOLVING Translates large-scale, messy data into actionable insights and predictive tools. Identifies gaps and inefficiencies in data collection or usage. IMPACT OF DECISIONS Models and forecasts directly influence staffing, budgeting, procurement, and other enterprise decisions across HISD. COMMUNICATION/INTERACTIONS Presents models, insights, and scenarios to senior district leadership, department heads, and peer analysts. CUSTOMER RELATIONSHIPS Provides expert-level support to business units seeking to improve operations using predictive and statistical tools. WORKING/ENVIRONMENTAL CONDITIONS Office or hybrid setting. Extended screen time and data review required. May work long hours during major forecasting periods. Houston Independent School District is an equal opportunity employer.

**Dean of Research, Stanford, California, United States** Research Post Date Dec 13, 2024 Requisition # 105424 This is a 3-year fixed term appointment. **Stanford Data Science** This position is part of a new initiative incubated within Stanford Data Science, part of the Vice Provost for Research / Dean of Research. Stanford Data Science (SDS) is a dynamic and rapidly growing unit within the VP/Dean of Research. For more than five years, SDS has sought to advance data science and its application to all fields of study. Our community ranges broadly across all seven schools on campus, consisting of esteemed alumni, world class faculty, post-doctoral fellows and PhD students, dynamic staff and administrators. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish their mission conducting cutting-edge research and innovation around how we learn from data, the tools we use, and the new methods needed to tackle the data-intensive future. **POSITION SUMMARY** Stanford University has made a strategic investment in Marlowe, a GPU-centric high-performance computing instrument designed to enable large-scale, data-intensive research. Supporting a wide range of disciplines, Marlowe facilitates sophisticated machine learning applications, including large-language models. The Research Data Scientist will play a critical role in this initiative, leveraging their expertise in computational research to develop and optimize workflows and applications that unlock Marlowe's capabilities. This role requires a deep understanding of computational and data science, machine learning, and the scientific process. It also demands the ability to leverage high-performance GPU computing to efficiently process and analyze large datasets. The successful candidate will collaborate closely with Stanford faculty and research groups to design, implement, and refine GPU-accelerated data processing pipelines. They will also contribute to scientific codes using machine learning, statistical analysis, and computation to address complex research challenges. Additionally, the data scientist will contribute to the development of novel computational methods ranging from biological data analysis to simulation of physical systems via digital twins. Beyond technical expertise, the Research Data Scientist will act as a bridge between Marlowe and the broader research community. They will guide researchers in adapting their applications to Marlowe's GPU-powered infrastructure by providing technical consultation, creating training materials, and leading workshops. The ideal candidate will have a strong background in both data science and GPU-centric computational techniques, combined with a passion for fostering collaboration and pushing the boundaries of interdisciplinary research. This position offers an exceptional opportunity to drive transformational research and establish Marlowe as a cornerstone of Stanford's efforts in pioneering discovery. Remote work for the Research Data Scientist position will be considered. The Research Data Scientist may be asked to attend certain in-person work events during the year regardless of remote status. **CORE DUTIES** **:** **Code Architecture for GPU Computation** + Collaborate with Principal Investigators (PIs) and research groups to architect and optimize GPU-accelerated pipelines. + Develop innovative computational methodologies + Co-author resulting research publications. **Algorithm Development and Data Management** + Design advanced data movement strategies to minimize memory bottlenecks between CPU and GPU, including real-time data streaming methods for scientific applications. + Partner with research teams to design novel algorithms and develop high-quality, reusable software to accelerate complex research projects. **Research Support and Software Infrastructure** + Assist PIs in applying for supercomputing resources at national centers once projects are scaled and workloads are appropriate. Offer guidance on maximizing efficiency of large-scale computational experiments. + Install, configure, and maintain software stacks for core research functions. **Training and Mentorship** + Design and lead hands-on workshops, and interdisciplinary courses focused on GPU-centric research in fields such as computational biology, NLP and image analysis. + Mentor graduate students, postdocs and early-career researchers in computational techniques and research methodologies. **Open Science and Research Continuity** + Integrate open science principles into research workflows, including software for data and computational provenance. + Design systems to manage inputs, outputs, and provenance to meet NIH, NSF, and OSTP mandates. + Develop tools and workflows to ensure the long-term viability of code and tools used by students and postdocs for future research development. *Other duties as assigned. **DESIRED QUALIFICATIONS** **:** + Experience supervising technical staff including training, mentoring and coaching. + Experience developing and writing grant proposals. + A minimum of five years at an Academic Staff - Researcher rank or have equivalent experience + Extensive publication list including first author publications. **Education & Experience (Required)** : + Ph.D. in a computational or data-intensive related field or equivalent + Comfortable running and troubleshooting jobs in a batch scheduled environment + Considerable experience with Linux **Pay Range** **:** This role is open to candidates anywhere in the United States. Stanford University hasfive Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $142,000 to $200,000 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. _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 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._ Additional Information + **Schedule: Full-time** + **Job Code: 6446** + **Employee Status: Fixed-Term** + **Grade: R99** + **Requisition ID: 105424** + **Work Arrangement : Hybrid Eligible, Remote Eligible, On Site**

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process. Job Category: Academic Staff Employment Type: Regular Job Profile: Data Scientist II The Wisconsin Registry for Alzheimer's Prevention (WRAP), one of the world's largest and longest-running studies of adults at risk for Alzheimer's disease, is seeking a Data Scientist II to join our data and informatics team at the Wisconsin Alzheimer's Institute (WAI). In this role, you will work closely with database administrators, biostatisticians, and investigators to prepare and analyze longitudinal datasets, create visualizations and reports, develop and maintain automated pipelines, implement reproducible workflows and documentation, and deliver collaboration-ready data for internal projects and global partners. This position directly supports grant deliverables and contributes to publications and data sharing that advance biomarker and imaging science. * The work schedule is flexible and will be determined at the time of hire. * This position may require some work to be performed in-person, onsite, at a designated campus work location. Some work may be performed remotely, at an offsite, non-campus work location * Candidates who demonstrate the following knowledge, skills, and abilities, will be given first consideration: 1) Advanced proficiency in R programming, including development of automated data pipelines and reproducible workflows. 2) Expertise in data wrangling, quality control, and integration of complex, multi-source datasets. 3) Experience with version control (Git) and collaborative coding practices. 4) Ability to create dynamic, reproducible reports using Quarto/R Markdown and other modern reporting tools. 5) Familiarity with workflow automation and dependency management. 6) Strong communication and collaboration skills for cross-functional teams Key Job Responsibilities: * Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators * Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows * Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources * Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining * Organizes and automates project steps for data preparation and analysis Department: School of Medicine and Public Health, Wisconsin Alzheimer's Institute (WAI), in the Operational Area of WRAP WI Registry for Alzheimer Prevention The Wisconsin Alzheimer's Institute (WAI) supports the UW School of Medicine and Public Health's (SMPH) mission of "advancing health and health equity through remarkable service to patients and communities, outstanding education, and innovative research." Core values for WAI are service, inclusive collaboration, excellence, empathy, compassion and fairness. These values inform WAI efforts to lead innovative, impactful programs with partners both in and outside SMPH and the University of Wisconsin-Madison. WAI goals are focused on helping people living with or at risk for Alzheimer's disease or other dementia, their caregivers, and the health professionals working to support them. Through research initiatives, statewide memory clinic development, education and public health programs focused on both the clinician and caregiver, we identify and provide strategies to reduce dementia risk and offer access to effective care. WAI scientists and program leaders coordinate research-based education and events for caregivers and community members throughout Wisconsin and across the nation. The WRAP study has collected 21+ years of longitudinal data to identify early risk and resilience factors, enabling biomarker discovery and translational science in partnership with collaborators worldwide. Compensation: The starting salary for the position is $75,000; but is negotiable based on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. For more information, refer to the campus benefits webpage and the SMPH Academic Staff Benefits Flyer Required Qualifications: * Experience processing data using R in research or biomedical projects * Ability to implement reproducible research practices, including scripted workflows and documentation * Proficiency in R for data visualization, statistical analysis, and automation Preferred Qualifications: * Experience monitoring and optimizing data pipelines in research or biomedical settings * Experience with containerization or environment management tools (e.g., Docker, renv) for reproducibility * Experience mentoring others in coding best practices and reproducible workflows * Soft skills: Organization, attention to detail, commitment to data quality, and ability to communicate effectively with individuals from diverse backgrounds. Education: Master's degree preferred; focus in Data Science, Statistics, Biostatistics, Computer Science, Computational Biology, Bioinformatics, Epidemiology, Quantitative Social Sciences, Public Health, with a strong emphasis in data analysis OR equivalent years of experience working with R pipelines in a professional setting How to Apply: For the best experience completing your application, we recommend using Chrome or Firefox as your web browser. To apply for this position, select either "I am a current employee" or "I am not a current employee" under Apply Now. You will then be prompted to upload your application materials. Important: The application has only one attachment field. Upload all required documents in that field, either as a single combined file or as multiple files in the same upload area. * Cover Letter * Resume Your cover letter should address how your training and experience align with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected. University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work. Contact Information: Ramiro Rea Reyes, PhD, *************************** Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. The University of Wisconsin-Madison is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, visit the Human Resources Workplace Poster website. To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you. Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.

Department: Data Science and Analytics Contract Months:12 Salary Range: $90,000.00 - $110,000.00 Academic Year: 25-26 The Cross-Functional Team Member for Data Science and Analytics oversees the team's efforts in advanced data analysis, survey design, and repo1ting to support Houston ISD's strategic goals within the Office of Academics. This role ensures high-quality insights, drives data-informed decision-making, and delivers solutions that optimize operations and improve outcomes for students, families, and staff. MAJOR DUTIES & RESPONSIBILITIES * Manages and executes data projects, including advanced data analysis, survey design, and reporting, by coordinating workflows, setting timelines, and ensuring timely and high-quality deliverables. * Supervises team members by providing clear guidance, monitoring progress, and fostering a collaborative and innovative work environment to achieve project goals and support professional growth. * Collaborates with stakeholders and cross-functional teams to identify data needs, define project goals, and deliver impactful solutions that align with district priorities and address key challenges. * Leads and executes advanced analytical tasks, including building models, dashboards, and statistical analyses, serving as the team's technical expert in tools like Excel, R, Python, and Power Bl. MAJOR DUTIES & RESPONSIBILITIES CONTINUED * Ensures the quality and accuracy of alt deliverables, including documentation, methodologies, and reports, to support transparency, reproducibility, and effective decision-making. * Serves as a trusted advisor to the data director by offering analytical expertise, proposing innovative methodologies, and aligning team efforts with strategic goals. Leads the adoption of advanced tools and techniques to ensure the team delivers impactful, data-driven solutions that address district-wide challenges. * Other duties as assigned. EDUCATION Bachelor's Degree * Applicants who do not meet these education qualifications may be considered if they have a unique combination of education and work experience that indicate potential for success in this role. WORK EXPERIENCE At least 3 years working in the district/central office of a large urban school district. * Applicants who do not meet these education qualifications may be considered if they have a unique combination of education and work experience that indicate potential for success in this role. SKILL AND/OR REQUIRED LICENSING/CERTIFICATION Microsoft Office SAP Must possess expertise in Excel, R, Python, and Power BI for data analysis and visualization, as well as an advanced understanding of statistical analysis, predictive modeling, and machine learning techniques. Proficiency in designing and analyzing surveys using tools like Qualtrics and familiarity with data manipulation and integration using SQL and Power Que1y are essential. Experience with spatial analysis and visualization techniques is also required. This role demands strong leadership skills to guide and mentor a team of data professionals, along with project management expertise to oversee complex data analysis projects. Analytical problem-solving abilities, attention to detail, and excellent written and verbal communication skills are essential for conveying complex findings to non- technical stakeholders LEADERSHIP RESPONSIBILITIES Manages. Accomplishes the majority of work objectives through the management of direct reports. Provides day-to-day direction to staff; may become directly involved, as required, to meet schedules and resolve problems. Responsible for assigning work, meeting completion dates, interpreting and ensuring application of policies and procedures. Receives assignments in the form of objectives, with goals and the process by which to meet goals. Provides input to hiring, performance and budget. WORK COMPLEXITY/INDEPENDENT JUDGMENT Work involves the application of moderately complex procedures and tasks that are quite varied. Independent judgment is often required to select and apply the most appropriate of available resources. Ongoing supervision is provided on an "as needed" basis. BUDGET AUTHORITY Complies and organizes data and figures. PROBLEM SOLVING Decisions are made with greater freedom and discretion, including recommendations that are subject to approval on matters that may affect multiple departments across HISD. Job is frequently expected to recommend new solutions to problems, to improve existing methods/procedures/services and generate new ideas. May also review decisions made by other individuals on more routine matters. IMPACT OF DECISIONS Decisions have considerable impact to multiple divisions or the organization causing risks or improvements to relationships, significant efficiencies, or delays in operations, and/or significant financial gains or expenses. Errors are serious and difficult to discover, normally involve decisions not subject to detailed review and will result in excessive costs and/or significant project delays. COMMUNICATION/INTERACTIONS Collaborate and solve problems - works with others to resolve problems, clarify or interpret complex information/policies, and provide initial screening/negotiations without approval authority. Interactions are typically with customers, senior level professional staff, and managers. CUSTOMER RELATIONSHIPS Regularly assesses and diffuses complex, and escalated customer issues. Takes personal responsibility and accountability for solving systemic customer service problems. Regularly explores alternative and creative solutions to meeting the needs of the customer within HISD's policies and guidelines. WORKING/ENVIRONMENTAL CONDITIONS Work is normally performed in a typical interior work environment which does not subject the employee toany hazardous or unpleasant elements. Ability to carry and/or lift less than 15 pounds Houston Independent School District is an equal opportunity employer.

Department: IT - BI DW - Data Warehouse Contract Months:12 Salary Range: $84,127.00 - $138,810.00 Academic Year: 25-26 The Data Scientist - Strategic Data Intelligence supports the development of analytical models, dashboards, and insights that inform key district decisions in areas such as attendance, student achievement, staffing, and equity. This role transforms complex data into meaningful stories using statistical techniques and visualization tools. The Data Scientist collaborates with senior analysts, engineers, and business leaders to generate insights from both instructional and operational data, playing a vital role in building a data-driven culture within Houston ISD. MAJOR DUTIES & RESPONSIBILITIES 1. Assist in developing predictive models and trend analyses that support planning and program evaluation. 2. Prepare data from Microsoft Fabric, SIS, ERP, and external systems for analysis. 3. Design Power BI dashboards that present key performance indicators and support data storytelling. 4. Clean, merge, and transform data for modeling and reporting purposes using statistical software. 5 Work with department leads to define research questions and translate them into analytical strategies. MAJOR DUTIES & RESPONSIBILITIES CONTINUED 6. Support pilot studies and evaluations of new academic or operational initiatives. 7. Conduct exploratory data analysis to uncover patterns and actionable insights. 8. Document code, logic, and assumptions used in statistical work. 9. Stay informed on new methods, tools, and educational research practices. 10. Perform other job-related duties as assigned. EDUCATION Bachelor's degree in statistics, mathematics, data science, public policy, or a related field required. Master's preferred. WORK EXPERIENCE Minimum of 3 years in applied data analytics, educational research, or statistical analysis. Prior work in public education, nonprofits, or social policy analytics a plus. SKILL AND/OR REQUIRED LICENSING/CERTIFICATION * Proficiency in SQL, Power BI, and at least one statistical programming language (Python, R, or Stata) * Strong ability to interpret and visualize complex datasets * Familiarity with public education data and performance indicators * Excellent written and verbal communication skills * Ability to collaborate with cross-functional teams and meet tight deadlines * Certifications in data analytics or visualization tools a plus LEADERSHIP RESPONSIBILITIES None. Works under the direction of the Senior Data Scientist and Director. May lead project-specific tasks. WORK COMPLEXITY/INDEPENDENT JUDGMENT Works independently on defined tasks and applies analytical thinking to identify trends and anomalies. BUDGET AUTHORITY None. PROBLEM SOLVING Identifies inconsistencies or limitations in datasets and proposes methods to address or adjust for them. IMPACT OF DECISIONS Findings influence program evaluations, academic interventions, and resource allocations. COMMUNICATION/INTERACTIONS Collaborates with data engineers, academic teams, and decision-makers. Explains findings to both technical and non-technical audiences. CUSTOMER RELATIONSHIPS Builds positive relationships with internal stakeholders by delivering thoughtful, user-centered data solutions. WORKING/ENVIRONMENTAL CONDITIONS Office environment. Must balance multiple short- and long-term projects in a fast-paced setting, hybrid setting available. Houston Independent School District is an equal opportunity employer.

The University of Texas MD Anderson Cancer Center invites applications for a Data Scientist (Computational Scientist) to join the Surgical Data Science Program within the Institute for Data Science in Oncology (IDSO). IDSO is composed of five major focus areas dedicated to advancing data science and emerging medical technologies to improve clinical care and operational excellence. Within the IDSO focus area on Quality, Safety, and Access, the Surgical Data Science Program brings together experts in data science, systems engineering, and technology development. This multidisciplinary team collaborates closely with surgeons, physicists, and engineers to deliver impactful research and translation in: * Multidimensional data analysis (including medical imaging) * Predictive modeling * Clinical outcomes research * Applied machine learning and AI in surgical and perioperative care Shift / hours: Based on business needs and 100% onsite The ideal applicant will have demonstrated experience with/in computing / programming (Python, Matlab, C++, CUDA, Julia, R and/or SQL), machine learning / deep learning methods including neural network design, computer vision / image analysis, and statistical analysis Key Responsibilities The Data Scientist will: * Develop and apply advanced machine learning, deep learning, computer vision, and statistical modeling techniques. * Conduct multidimensional data analyses, including medical image data, clinical data, and outcomes. * Contribute to predictive modeling, decision-support tools, and data-driven clinical insights. * Collaborate with a multidisciplinary team across surgery, physics, engineering, and data science. * Support research translation into clinical workflows and operational improvement initiatives. Required Technical Expertise Candidates should demonstrate experience with: Programming & Computing * Python, MATLAB, C++, CUDA, Julia, R, and/or SQL Machine Learning / Deep Learning * Neural network design and implementation * Computer vision and image analysis * Applied statistics and data modeling Preferred Experience with Scientific Computing Libraries * SciPy, pandas, statsmodels * OpenCV, XGBoost * PyTorch and/or TensorFlow * SQL or other database querying languages Preferred Experience with Modern ML/Statistical Techniques * Regression, clustering, segmentation * Time-series analysis * Recommender systems * Predictive analytics * Bayesian modeling * Data fusion * Supervised and unsupervised learning * Decision trees, A/B testing * Natural language processing (NLP) EDUCATION * Required: Bachelor's Degree Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field. * Preferred: Master's Degree Science, Engineering or related field. * Preferred: PhD Science, Engineering or related field. WORK EXPERIENCE * Required: 3 years Scientific software or industry development/analysis experience. or * Required: 1 year Required experience with Master's degree. or * Required: With PhD, no experience required. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.************************************************************************************************ Additional Information * Requisition ID: 178045 * Employment Status: Full-Time * Employee Status: Regular * Work Week: Days * Minimum Salary: US Dollar (USD) 106,500 * Midpoint Salary: US Dollar (USD) 133,000 * Maximum Salary : US Dollar (USD) 159,500 * FLSA: exempt and not eligible for overtime pay * Fund Type: Soft * Work Location: Onsite * Pivotal Position: Yes * Referral Bonus Available?: No * Relocation Assistance Available?: Yes #LI-Onsite

Posting Number S06512P Position Title Data Scientist Department Health Innovation Institute Location Arlington Position Status Full-time Work Schedule Monday-Friday; 8:00am-5:00pm * Based at UTA (Arlington, TX) with regular on-site collaboration with Cook Children's teams in Fort Worth. Salary Salary is commensurate with qualifications and relevant experience. Pay Basis Monthly Job Summary The Data Scientist design, build, and operate robust, secure data pipelines that power clinical-research products, analytics dashboards, and downstream data-science workloads. Partner closely with clinicians, investigators, Office of Information Technology and collaborators' Business Intelligence teams, and external research collaborators to translate complex biomedical data into actionable insights. Essential Duties and Responsibilities * Architect end-to-end pipelines that ingest high-volume de-identified clinical, genomic and phenotypic datasets from collaborators' EHR systems (Epic Clarity/Caboodle) and cloud storage. * Build and host production-grade web portals and REST APIs for secure researcher/clinician access supporting role-based permissions and audit trails. * Leverage OpenAI LLMs (or similar NLP services) to auto-extract Human Phenotype Ontology (HPO) terms from de-identified clinical documentation. * Design high-throughput ETL workflows that parse heterogeneous datasets for ingestion into relational databases and cloud-native warehouses, feeding results into downstream analytics pipelines. * Design and develop real-time capable analytical systems to integrate with and/or augment EHR systems. * Perform systems administration for data-platform hosts, including system hardening, patch management, firewall configuration. * Implement monitoring stacks and custom health checks to maintain near-continuous system availability. * Translate clinical research requirements into technical specifications, producing clear data-model diagrams, lineage documentation, and data-dictionary artifacts. * Deliver data-product demos to investigators, effectively showcasing how pipeline outputs support precision medicine reporting. * Champion standards for metadata management, schema versioning, and test-driven data engineering. * Other duties as assigned. Minimum Qualifications * Bachelor's degree in Computer Science, Engineering or related field (or equivalent experience). * Seven (7) years of professional experience in data engineering, software development, or an equivalent mix of education and relevant experience in similar role. Preferred Qualifications * Experience with Snowflake, Microsoft Azure Synapse, or other modern data- warehouse platforms. * Exposure to machine-learning pipelines (e.g., using OpenAI or other LLM services). * Experience building/maintaining cloud data platforms (such as GCP, OCI, Linode, AWS, Azure) and data-lake/warehouse solutions, as well as production workload management. * Hands-on Linux system administration (containerization, networking, security). Knowledge, Skills and Abilities * Expert expertise in SQL (PostgreSQL, SQL Server, MySQL, etc.) and data-modeling (relational & dimensional). * Proficiency in Python (or another modern language) for ETL, API integration, and automation. * Knowledge of healthcare data standards (Epic Clarity/Caboodle, HL7/FHIR, HPO, etc.) - preferred. * Ability to mentor junior engineers and promote best practices. * Excellent communication & storytelling skills for cross-functional collaboration Other Requirements Workplace and Eligibility Conditions * Will engage with secure computing environments, IRB-protected datasets, and sensitive clinical data workflows. * Office, computational, and occasional clinical-research interface settings. Benefits Eligible Yes Benefits at UTA We are proud to offer a comprehensive benefits package to all our employees at the University. **************************************** To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your compensation package. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: ******************************************************************** CBC Requirement It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is under final consideration for employment with the University. This position may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA-48. By assuming this position, and if you have access to critical infrastructure, you authorize the University to conduct routine background checks. EEO Statement It is the policy of The University of Texas at Arlington (UTA or The University) to provide an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of race, color, national origin, religion, age, sex, sexual orientation, pregnancy, disability, genetic information, and/or veteran status. The University also prohibits discrimination on the basis of gender identity, and gender expression. Retaliation against persons who oppose a discriminatory practice, file a charge of discrimination, or testify for, assist in, or participate in an investigative proceeding relating to discrimination is prohibited. Constitutionally-protected expression will not be considered discrimination or harassment under this policy. It is the responsibility of all departments, employees, and students to ensure the University's compliance with this policy. University Information The University of Texas at Arlington (UTA) is located in the heart of the Dallas-Fort Worth-Arlington metroplex, a vibrant and diverse metropolitan area that is home to over 7 million people, one of the fastest-growing tech economies in the United States, and a wide array of arts, entertainment, and cultural activities. As a comprehensive teaching, research, and public service institution, UTA is dedicated to the advancement of knowledge through scholarship and creative work. With an enrollment of more than 42,000 students, UTA is the second largest in the University of Texas System. As a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 "Very High Research Activity" institution and nationally recognized for its commitment to student success and service. It ranks No. 5 in Military Times' "Best for Vets: Colleges" and is the top university in North Texas for its graduates' salaries (The Wall Street Journal). UTA is designated as both a Hispanic-Serving Institution and an Asian American and Native American Pacific Islander-Serving Institution and is No. 6 for undergraduate ethnic diversity in the United States (U.S. News & World Report, 2023). With a global alumni network of approximately 280,000 - including leaders at many of the 24 Fortune 500 companies headquartered in North Texas - UTA contributes an estimated $29 billion annually to the Texas economy. UTA is expanding its regional footprint by building a regional campus, called UTA West, in Parker County on the far west side of Fort Worth. It is scheduled to open in fall 2028. This initiative aligns with the university's strategic growth and commitment to serving the broader community. Furthermore, UTA has launched the RISE 100 initiative, aiming to recruit 100 new tenure-system faculty to strengthen its research enterprise and leadership in key academic areas. Learn more at ******************************************************************** This is an exciting time to join UTA and contribute to its bold vision for the future. ADA Accommodations The University of Texas at Arlington is committed to providing reasonable accommodation to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing or otherwise participating in the employee selection process, please direct your inquiries to ************ or email ***************. Posting Detail Information Number of Vacancies 1 Open Until Filled Minimum Number of References Required 3 Maximum Number of References Accepted 3 Special Instructions to Applicants Applicants must include in their online resume the following information: 1) Employment history: name of company, period employed (from month/year to month/year), job title, summary of job duties and 2) Education: school name, degree type, and major.

The Data Scientist design, build, and operate robust, secure data pipelines that power clinical-research products, analytics dashboards, and downstream data-science workloads. Partner closely with clinicians, investigators, Office of Information Technology and collaborators' Business Intelligence teams, and external research collaborators to translate complex biomedical data into actionable insights. Essential Duties And Responsibilities Architect end-to-end pipelines that ingest high-volume de-identified clinical, genomic and phenotypic datasets from collaborators' EHR systems (Epic Clarity/Caboodle) and cloud storage. Build and host production-grade web portals and REST APIs for secure researcher/clinician access supporting role-based permissions and audit trails. Leverage OpenAI LLMs (or similar NLP services) to auto-extract Human Phenotype Ontology ( HPO ) terms from de-identified clinical documentation. Design high-throughput ETL workflows that parse heterogeneous datasets for ingestion into relational databases and cloud-native warehouses, feeding results into downstream analytics pipelines. Design and develop real-time capable analytical systems to integrate with and/or augment EHR systems. Perform systems administration for data-platform hosts, including system hardening, patch management, firewall configuration. Implement monitoring stacks and custom health checks to maintain near-continuous system availability. Translate clinical research requirements into technical specifications, producing clear data-model diagrams, lineage documentation, and data-dictionary artifacts. Deliver data-product demos to investigators, effectively showcasing how pipeline outputs support precision medicine reporting. Champion standards for metadata management, schema versioning, and test-driven data engineering. Other duties as assigned. Minimum Qualifications Bachelor's degree in Computer Science, Engineering or related field (or equivalent experience). Seven (7) years of professional experience in data engineering, software development, or an equivalent mix of education and relevant experience in similar role. Preferred Qualifications Experience with Snowflake, Microsoft Azure Synapse, or other modern data- warehouse platforms. Exposure to machine-learning pipelines (e.g., using OpenAI or other LLM services). Experience building/maintaining cloud data platforms (such as GCP , OCI , Linode, AWS , Azure) and data-lake/warehouse solutions, as well as production workload management. Hands-on Linux system administration (containerization, networking, security). Work Schedule Monday-Friday; 8:00am-5:00pm Based at UTA (Arlington, TX) with regular on-site collaboration with Cook Children's teams in Fort Worth.

Where we Work Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays. About your skills You're a data scientist who's passionate about turning raw data into meaningful insight and action. You know that great analysis doesn't just explain what happened; it helps people understand why it matters and what to do next. You're fluent in SQL, Python and Experimentation best practices, and comfortable navigating ambiguous business problems. You thrive in cross-functional environments, especially when working closely with Product, Marketing and Engineering teams. You're equal parts technical and communicative, and the intersection of data science and storytelling excites you. You enjoy partnering with cross-functional stakeholders, and you're energized by uncovering patterns in behavior that drive real outcomes for customers. You're curious, a fast learner, and constantly thinking about how to scale your impact through automation and proactive insight. About this role This is a highly visible role that sits at the intersection of product, data science, and pricing strategy. The Principal Data Scientist, Product & Pricing Analytics will play a key role in ensuring the vibrancy of Udemy's consumer marketplace. In this role, you will work with stakeholders in Product and Marketing to drive data-informed decisions about how we price courses, measure the performance of our econometric pricing algorithms, design and execute experiments, create dashboards to drive revenue maximization efforts, and suggest strategic changes in our pricing and promotions strategy based on insights from user data. Success in this role will require a combination of strong communication and collaboration skills, sharp product sense, a customer-centric mindset, and solid technical data science skills. We are interested in building a diverse, collaborative, and fun environment. Come help us improve lives through learning! What you'll be doing * Serve as the embedded product data science partner in a cross-functional team responsible for pricing and product experimentation at Udemy, including PMs, Engineers, and Marketers. * Work with the team to develop a rich program of experimentation to improve the revenue performance of our consumer marketplace including metric creation, experiment design, power analysis, and analysis of experiment results. * Use advanced analytics techniques (e.g., clustering, regression, forecasting) to uncover insights that shape how we serve consumer accounts. * Drive data-informed decision-making within the Product and Pricing teams by equipping PMs, Marketers and Engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team. * Measure price elasticities, average selling prices, and conversion rates in our marketplace, and use those metrics to help brainstorm potential price experiments to drive revenue gains. * Work with Udemy's Pricing & Promotions team to quantify, understand, and prioritize improvements to our pricing system. Collaborate with Data Engineering to improve data pipelines and access. What you'll have * Bachelor's degree in a relevant technical field, or equivalent practical experience. * 6+ years of hands-on Data Science or ML Engineering experience (4+ if you have a PhD), with past work in product, customer and/or pricing analytics strongly preferred. * Expert-level SQL and Python skills; experience with Databricks or similar cloud data warehouses. * Broad knowledge of applied statistics, experimental design, and analysis of A/B tests. * Experience working with Github and CI/CD code review processes. * Experience building automated data pipelines using tools like Airflow and dbt. * Exceptional data storytelling and data visualization ability. Experience with Tableau, and a strong eye for visual storytelling and usability, is a big plus. * A proactive mindset with ability to translate open-ended business questions into structured analyses and actionable recommendations. * Strong ownership and ability to work autonomously, while also collaborating with teams and colleagues that span global time zones. Posting Date: 10/29/2025 Application Window: We anticipate the application window will be open until 11/29/2025. Based on business needs, this opportunity may remain posted beyond or closed before the anticipated application window.

The Associate Data Scientist's primary responsibility will be to assist in the computational analysis of spatial single-cell transcriptomic and proteomic data from patient tumors generated from platforms such as CosMx Spatial Molecular Imager. Analyses will involve identifying spatially localized cellular niches, characterizing immune and epithelial cell states, modeling cell-cell communication, and uncovering pathways through which host-microbe interactions influence tumor biology. a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } * This position requires at least 70% onsite presence and is not a remote role.* The ideal candidate will have experience in cancer biology omics. At MD Anderson, we offer careers built on care, growth, and balance. Our employees enjoy a benefits package designed to support every stage of life, starting on day one. * Paid employee medical benefits (zero premium) starting on first day for employees who work 30 or more hours per week * Group Dental, Vision, Life, AD&D and Disability coverage * Paid time off (PTO) and Extended Illness Bank (EIB) paid leave accruals * Paid institutional holidays, wellness leave, childcare leave, and other paid leave programs * Tuition Assistance Program after six months of service * Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans * Employer paid life, AD&D and an illness-related reduced salary pay program * Extensive wellness, recognition, fitness, employee health programs and employee resource groups Key Functions 1. Analyzation and Integration Single-Cell and Spatial Omics Data Process and interpret single-cell RNA-seq and spatial proteomic and transcriptomic datasets to identify cellular states and tumor microenvironment features. Integrate multimodal data from platforms such as CosMx, MIBI, STOmics or GeoMx to uncover spatial niches and model cell-cell and host-microbe interactions. Apply analytical methods including clustering, differential expression, trajectory inference, and spatial proximity analyses. 2. Computational Pipelines for Biological Insight Development Build, document, and maintain reproducible analysis pipelines in Python and R for high-dimensional omics datasets. Conduct pathway enrichment and network-based analyses to identify biologically relevant trends in cancer and immune responses. Generate publication-ready visualizations and figures that communicate key findings for manuscripts, grants, and presentations. 3. Collaborate, Communicate, and Document Research Outputs Partner with interdisciplinary team members to interpret data, support experimental planning, and contribute to scientific publications. Present analytical results in lab meetings and project discussions to inform ongoing research directions. Maintain well-organized code, metadata, and supplementary materials to support reproducibility and data sharing. Education Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. Experience Required: Two years experience in scientific software or industry development/analysis. Preferred: Knowledge of transcriptomics and proteomics is a plus The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.************************************************************************************************ Additional Information * Requisition ID: 176433 * Employment Status: Full-Time * Employee Status: Regular * Work Week: Day/Evening, Days * Minimum Salary: US Dollar (USD) 88,000 * Midpoint Salary: US Dollar (USD) 110,000 * Maximum Salary : US Dollar (USD) 132,000 * FLSA: exempt and not eligible for overtime pay * Fund Type: Soft * Work Location: Hybrid Onsite/Remote * Pivotal Position: Yes * Referral Bonus Available?: Yes * Relocation Assistance Available?: Yes #LI-Hybrid

WHY UT SOUTHWESTERN? With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career! JOB SUMMARY Works under general direction to provide analysis and develops algorithms and software for clinical and/or basic research problems. Impacts data acquisition, management, and analysis in basic, translational, and clinical research, including clinical trials. The newly established Program for Memory Longevity (PML), led by Attila Losonczy in the Peter O'Donnell Jr. Brain Institute at the University of Texas Southwestern Medical Center (UTSW) in Dallas, in collaboration with the Paninski and Peterka labs in the Zuckerman Institute (ZI), Columbia University, New York and the International Brain Lab (IBL) is seeking a full-time Research Software Engineer. The Research Software Engineer will work closely with these labs to help develop and maintain software tools, in particular for the analysis and interpretation of large-scale imaging data. The ideal candidate will play an important role in translating research code into robust and easy-to-use software packages, as well as contribute to the understanding and use of imaging data. The primary location is at UTSW, including collaborative visits at ZI, New York. Main responsibilities include: * Develop and maintain software packages for the analysis of functional optical imaging data (e.g., one- and two-photon calcium and voltage imaging). * Develop and maintain local and browser-based user interfaces for these packages. * Work closely with other research software engineers to coordinate APIs and wrappers to link the optical imaging analysis suites to other synchronously monitored signals (e.g. electrophysiology or behavioral videography) * Support the adoption and use of the software by the worldwide scientific community through dissemination efforts, including publishing written documentation and video tutorials, and assisting with workshops * Work closely with machine learning researchers at UTSW and ZI to incorporate new algorithms into the software packages BENEFITS UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include: * PPO medical plan, available day one at no cost for full-time employee-only coverage * 100% coverage for preventive healthcare-no copay * Paid Time Off, available day one * Retirement Programs through the Teacher Retirement System of Texas (TRS) * Paid Parental Leave Benefit * Wellness programs * Tuition Reimbursement * Public Service Loan Forgiveness (PSLF) Qualified Employer * Learn more about these and other UTSW employee benefits! EXPERIENCE AND EDUCATION Required * Education Master's Degree M.S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field or Bachelor's Degree B.S. with demonstrated experience in broadly defined areas of bioinformatics. * Experience 2 years of post-graduation experience in data analysis and/or scientific software development for a Master‿s degree 4 years of post-graduation experience in data analysis and/or scientific software development for a Bachelor‿s degree JOB DUTIES * Analyzes and develops formalisms, algorithms and software for applications in biomedical research. * Develops and maintains software tools and infrastructure for resolving specific problems. * Performs the development, testing and revision of programs in a team with diverse bioinformatics expertise. * Advises and assists users and other personnel in analyzing, defining and resolving computational problems. * Performs other duties as assigned. SECURITY AND EEO STATEMENT Security This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. EEO UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.