Biostatistician jobs at Johns Hopkins University

The Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, seeks a Biostatistician to work as an integral part of a data analysis center study team. The Biostatistician will collaborate with epidemiologists, statisticians, and investigators in a variety of fields to manage and analyze complex multicenter longitudinal data. The successful applicant will contribute to the development and application of statistical methods to advance the scientific goals of a national child's health study. The Biostatistician will analyze large-scale, longitudinal data. Analyzed data is abstracted and extracted from electronic health records, laboratory and pharmacy databases, and patient-reported outcomes surveys. The Biostatistician will provide expertise on statistical design, data management (including data quality control), and data analyses to answer research questions using observational and longitudinal data. The Biostatistician will participate as a coauthor on manuscripts and presentations reporting study results. Specific Duties & Responsibilities * Use and expand existing SAS and R programs to clean and organize incoming JHHCC and CNICS data. * Identify potential problems with study data and collaborate with data managers to resolve issues. * Read concept sheets and draft statistical analysis plans specific to research objectives. * Generate analytic data sets, codebooks, and other documentation. * Analyze individual-level data to answer scientific questions of interest. * Prepare data tables and figures for publication and presentation at scientific meetings. * Contribute to technical/scientific writing and review drafts of concept sheets, reports, posters, and manuscripts, particularly descriptions of statistical methods and interpretation of results. * Document decision-making during the conduct of studies and archive code for the purposes of reproducibility of research findings. * Navigate shared files and contribute to shared files to create a transparent research workspace. * Assist with writing the approach section of research proposals. * Attend bi-weekly staff meetings and provide status updates on data processing and research projects. * Use professional judgment in handling sensitive information. * Other duties as assigned. In addition to the duties described above * The core responsibility for the position will be data analysis, using a broad range of analytic methods. Minimum Qualifications * Master's Degree in Biostatistics, Epidemiology, or related quantitative field. * Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. * Knowledge of R. Preferred Qualifications * One year of experience analyzing longitudinal data in the context of a research study. * Experience with advanced methods (e.g., multiple imputation, propensity scores, geospatial analyses, -omics or non-omics, etc.). Technical Qualifications & Specialized Certifications Technical Skills & Expected Level of Proficiency * Biostatistical Analysis - Developing * Data Management and Analysis - Developing * Data Validation and Quality Assurance - Developing * Data Visualization - Developing * Regulatory Compliance - Developing * Reproducible Research Practices - Developing * Scientific Communication - Developing * Statistical Methods - Developing * Statistical Programming - Developing The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs. Classified Title: Biostatistician Role/Level/Range: ACRP/04/MD Starting Salary Range: $55,800 - $97,600 Annually (Commensurate w/exp.) Employee group: Full Time Schedule: Monday to Friday: 9:00am - 5:00pm FLSA Status: Exempt Location: Hybrid/School of Public Health Department name: Epidemiology Personnel area: School of Public Health

Discover Your Career at Emory University Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community. Description KEY RESPONSIBILITIES: * Develops and analyzes a variety of research data using statistical methods. * Assists researchers in developing appropriate study protocols and computer analyses. * Manages computer systems, writes programs, and trains others in the use of systems. * Keeps abreast of the latest statistical modeling and computing tools. * Participates in the development and selection of appropriate statistical methods and tests, sample size calculations and creation of randomization schedules. * Prepares statistical method sections for inclusion in study protocols. * Reviews the design and content of database designs and data edit checks. * Develops and validates SAS programs to support statistical analyses. * Provides interpretations of statistical results, and prepares the relevant statistical sections for study reports. * Creates and maintains biostatistical documentation, including descriptions of methods, SAS programs and results. * Prepares electronic files using appropriate formats for submission to regulatory agencies. * Participates in the development of standardization procedures for statistical functions. * Reviews and audits statistical analysis plans, SAS programs, and statistical reports including tables, listings, and figures. * Provides guidance to more junior biostatisticians. * Evaluates and proposes new statistical methods for data analysis. * Assigns and monitors activities of other project personnel. * Assist in setting priorities of work to be done. * Provides support and serves as a resource to biostatisticians, programmers, and data analysts. * Participates in training of less senior biostatisticians and other team members. * Provides input into the evaluation of their team members. * Reviews and helps prepare statistical and database management sections of NIH grant applications and other externally supported proposals prior to submission. * Writes statistical methods section of manuscripts for publication. * Writes and/or revises quantitative, epidemiologic, and medical sections of manuscripts. * Helps estimate budgets for biostatistical support for larger, more involved clinical studies (NIH program project grants, multicenter clinical trials etc). * Monitors data collection, institutes procedures to assure data quality and guarantees study protocols are followed appropriately. * Performs related responsibilities as assigned. MINIMUM QUALIFICATIONS: * A master's degree in statistics, biostatistics, computer science, or a related field and three years of experience as a biostatistician, preferably in an academic setting, OR an equivalent combination of education, training, and/or experience. * Proficiency in modern high level statistical languages such as S-PLUS or SAS and in database management. NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University on a flexible weekly schedule based upon business needs. Schedule is based on agreed upon guidelines of department. This role requires residency in the state of GA. Emory reserves the right to change remote work status with notice to employee. Additional Details Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: ************ (V) | ************ (TDD). Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call ************ (Voice) | ************ (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet. The department of Public Health has an exciting opportunity for a full-time Biostatistician 2 to work on the UHealth campus. The Biostatistician 2 provides advanced statistical support and implements new strategies and analysis options with project PIs. The Biostatistician 2 prepares written reports to document analytic activities and summarizing results and participates in the development and the testing of efficient protocols for the collection, verification, management, and analysis of large amounts of genotypic and phenotypic data. Further, the Biostatistician 2 serves as liaison between the more junior Biostatisticians of the department and the research community. CORE JOB FUNCTIONS Finalizes analysis plans and writes detailed specifications for analysis of files, consistency checks, tables, and figures. Communicates with clients regarding statistical analysis issues. Prepares data, conducts statistical analysis, and summarizes results for large research projects. Interprets analyses and writes statistical sections of study reports. Prepares results for progress reports, presentations, and peer-reviewed publications. Maintains and documents studies' databases. Consults with study investigators on planning and specifying statistical analysis. Provides support to resolve barriers to analysis and consults with other methodologists and statisticians. Adheres to University and unit-level policies and procedures and safeguards University assets. Department Specific Functions Responsible for independent research, analysis, and synthesis, working under deadlines. Experience with program evaluation. Strong research skills (research design, data collection and quantitative data analysis) Statistical expertise including proficiency in statistical software such as SAS, Stata, R, or SPSS. Experience in quantitative analysis of large, longitudinal datasets Demonstrated success in program and project development and management Outstanding oral and written communication skills; knowledge of, and experience with writing peer-reviewed publications Attention to detail, strong organizational skills, and dedication to accuracy Demonstrated ability to work collaboratively and effectively with colleagues, researchers, constituents, and institutional leaders from various backgrounds and at many levels of authority This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Master's degree in relevant field Minimum 5 years of relevant experience Knowledge, Skills, and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical decisions. The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A12

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills, and dedication to build stronger minds and a healthier world. UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits, and natural beauty. **The Department of Medicine is seeking a highly skilled and experienced Biostatistician to join our team and serve as the Director of a new departmental Analytical Core.** The Department of Medicine is the largest department in the School of Medicine with over 3900 staff, faculty, trainees and students within eleven subspecialties divisions. Learn more about our department at *************************************** . **ABOUT THE ROLE** The role of the Biostatistician and Director is to provide complex and critical consulting, leadership, statistical expertise, data analysis, and data interpretation services to advance and support the research community within the department and the university. The Biostatistician will have the opportunity to design and shape key processes and procedures in the Data Analytics Core. This position requires the ability to work independently, manage multiple overlapping data analysis projects, and communicate effectively with staff and faculty on a wide range of topics. Given the substantial volumes and diverse data types involved in these projects, fluency with various statistical/programming software is essential. There is a growing need for multifaceted centralized analytic support within the Department of Medicine and the UW and the Biostatistician contributes to the growth and success by executing the department's mission and vision. The goal of this position is to provide and create department-wide biostatistical support for faculty-initiated projects as part of the departmental Data Analytics Core team. This position requires accuracy, efficiency, flexibility, creativity, and a desire to serve multiple stakeholders, while working within UW regulations. We anticipate near term growth; thus, the incumbent would also be responsible for recruiting and onboarding additional master's level analysts and leading the project management across the team. The position reports to the Vice Chair of Research, and partners with multiple senior leaders in the department. **DUTIES AND RESPONSIBILITIES** **_Analytical = 75%_** + Research and determine appropriate methodologic procedures for a range of statistical analyses, including biostatistics and bioinformatics. + Be able to perform multivariable statistical analyses using advanced analytic approaches. + Collaborate with individuals or interdisciplinary research teams on projects from inception through publication. Tasks may include assessing feasibility, developing objective(s), performing sample size and power calculations, generating and implementing randomization schema, and writing statistical sections of research protocols and manuscripts (e.g., statistical analysis plan). + Develop knowledge and skills in established and emerging analytical techniques. **_Data Analytic Core Management = 25%_** + Direct day-to-day operations of the Data Analytic Core, including triaging requests for data analysis and overall project management + Recruiting, onboarding, assigning projects, offboarding a team of data analysts. + Advertise and promote the Core to the faculty and trainees, and provide consultation for new data analytic requests + Work collaboratively across the Department and the School of Medicine to bring together a data analytic network + Partner with the Senior Director of Operations and the CFO to ensure projects are being charged out appropriately and that there is a financial sustainability plan. **MINIMUM REQUIREMENTS** + Doctoral Degree in Statistics, Biostatistics, Epidemiology or a related field and at least 2 years' related experience with progressive responsibility at a diverse, complex, multi-faceted organization. _Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration._ **A** **D** **DITIONAL REQUIREMENTS** + Demonstrated dedication to equity, diversity and inclusion. + Demonstrated experience and advanced knowledge with SAS, R, Python, STATA, or other coding language and programming software. + Experience with federal grant submissions, including proposals to the NIH and DOD + Strong analytical communication, critical thinking and problem-solving skills. + Excellent time management skills and ability to prioritize projects. + Strong focus and quality and timely delivery of work. **DESIRED QUALIFICATIONS** + 7 years' related experience + Previous experience in a consultant-based model/shared service, research setting and/or medical setting. **WORKING ENVIRONMENTAL CONDITIONS** - In a deadline-driven environment, occasional evening or weekend hours may be required. \#UWDeptMedicineJobs **Compensation, Benefits and Position Details** **Pay Range Minimum:** $150,000.00 annual **Pay Range Maximum:** $185,904.00 annual **Other Compensation:** - **Benefits:** For information about benefits for this position, visit ****************************************************** **Shift:** First Shift (United States of America) **Temporary or Regular?** This is a regular position **FTE (Full-Time Equivalent):** 100.00% **Union/Bargaining Unit:** UAW Research **About the UW** Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world. UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty. **Our Commitment** The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 (*********************************************************************************************************************** . To request disability accommodation in the application process, contact the Disability Services Office at ************ or ********** . Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law (********************************************************* . University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.

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.

The Opportunity The Center for Behavioral Health Research and Training (CBHRT) within the College of Health Professions and Sciences (CHPS) invites applications for a 12-month non-tenured Biostatistician who will provide statistical expertise and support for various clinical research projects focused on health and wellness. Key responsibilities include contributing to the study, design, and analytic plans for clinical trials, research projects, and grant proposals, conducting advanced and complex statistical analyses, interpreting research findings, and preparing manuscripts and technical reports. This role requires a strong background in biostatistics, data analysis, and the ability to work collaboratively with researchers from our various departments and schools, including the School of Social Work (SSW), the School of Communication Sciences and Disorders (CSD), the Department of Health Sciences (DHS), and the School of Kinesiology and Rehabilitation Sciences (KRS) which includes physical therapy and athletic training. The position is assigned to the main Orlando campus with a projected start date of Fall 2026. CHPS is home to three schools, one department, and six centers and institutes and is a leader in creating positive community changes by building partnerships that transcend traditional disciplinary boundaries. The college is a core member of the UCF Academic Health Sciences Center along with the existing College of Nursing and College of Medicine. UCF is a metropolitan research university built to make a better future for our students and society. We solve tomorrow's greatest challenges through a commitment to academic, inclusive and operational excellence. Leveraging innovative learning, discovery and partnerships, we foster social mobility while developing the skilled talent needed to advance industry for our region, state and beyond. UCF is committed to innovative community partnerships, world-class research with local impact, and the integration of technology and learning. For more information about our college, please visit the College of Health Professions and Sciences website. Minimum Qualifications: * Ph.D. in Biostatistics, Statistics, or a similar field. Candidates who are nearing completion of their Ph.D. are encouraged to apply (Ph.D. required by the start of appointment). * Knowledge of research design, statistical design, analysis, and programming techniques utilized in clinical research. * Experience with statistical programming and use of statistical computer packages (e.g., SPSS, SAS, Stata, R, Python, JASP). * Demonstrated skill in ability to work in a team environment and to simultaneously work on multiple research projects and tasks (e.g., designing studies, analyzing data, report research project findings). * Excellent interpersonal, written/oral communication, organizational, and time management skills. * Ability to effectively communicate statistical analytic plans and the interpretation of methods and results in written and verbal formats suitable to broad audiences. Preferred Qualifications: * Successful track record in securing extramural funding in the role of Biostatistician. * Preferred 3+ years' experience in experimental design and statistical support to allied health professionals conducting biomedical, behavioral, and health-related research. * Experience creating and implementing clinical trial protocols. * Familiarity with REDCap or similar data management systems. * Knowledge of and/or experience in conducting meta-analyses/systematic reviews, qualitative research, and/or mixed methods approaches. * Proficiency in data visualization techniques and software (e.g., BioRender, Tableau, ggplot2). * Experience with big data analytics and handling large-scale datasets. * Familiarity with health informatics and electronic health record (EHR) data analysis. Additional Application Materials Required: UCF requires all applications and supporting documents to be submitted electronically through the Human Resources employment opportunities website, ************************** In addition to the online application, candidates should upload: * Letter of application outlining how you are prepared to join the faculty at UCF highlighting research experience and other qualifications for the position. * Curriculum Vitae. * Reference list (including the names and contact information from at least three professional references, not reference letters). The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials. NOTE: Please have all documents ready when applying so they can be simultaneously uploaded. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later. Questions regarding this search should be directed to: Dr. Kim Gryglewicz, search committee chair, at **************** Special Instructions to the Applicants: N/A Job Close Date: Open until filled Note to applicants: Please keep in mind that a job posted as 'Open until filled' may close at any time without notice. As such, we encourage you to submit your application and all required documentation as quickly as possible to ensure consideration for the posted position. Are you ready to unleash YOUR potential? As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck. Working at UCF has its perks! UCF offers: * Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program. * Paid time off, including annual (12-month faculty) and sick time off and paid holidays. * Retirement savings options. * Employee discounts, including tickets to many Orlando attractions. * Education assistance. * Flexible work environment. * And more…For more benefits information, view the UCF Employee Benefits Guide click here. Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins. Additional Requirements related to Research Positions: Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela. The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, postdoctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates. Department College of Health Professions and Sciences (CHPS) - School of Social Work Work Schedule Varies Type of Appointment Regular Expected Salary Negotiable As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request. UCF is proud to be a smoke-free campus and an E-Verify employer. If an accommodation due to a disability is needed to apply for this position, please call ************ or email ************. For general application or posting questions, please email **************.

The biostatistician will support clinical epidemiology and biomedical research for the Campus Collaborative Research Core (CCRC) program and the Biostatistics Core at New York Medical College for both the college and Touro University. The biostatistician will design studies, collect, and analyze data from medical experiments, interpret the results of the analyses, and collaborate in writing articles to disseminate research findings. They use the quantitative tools of mathematics, statistics, and computing in their day-to-day work. Responsibilities Work with SHSP Faculty to plan direction and support for incoming projects. Contribute to planning, data assessment, data analysis, and interpretation of studies supported by Campus Collaborative Research and the Biostatistics Core. Guide study design, sample size calculation, randomization procedures, and data analysis methods, perform statistical analyses, and interpret results for researchers. Generate figures and statistical tables for conference presentations and journal publications. Ensure adherence to statistical standards and best practices in research methodologies. Assist in writing and reviewing statistical sections of research proposals, manuscripts, and grant applications. Assist in the Myocarditis study, generating descriptive and analytical data, performing statistical analysis, and interpreting results for researchers Qualifications Education: M.S. in Statistics, M.P.H. in Epidemiology or another quantitative field. Technical/Computer skills: Demonstrated expertise in statistical methodologies, study design, and data analysis. Proficiency in a statistical software package, such as R, SAS, or STATA. Microsoft Office Suite - Word, Excel, PowerPoint, Outlook Prior experience: Minimum of two years of related professional experience Other Skills: Excellent communication and interpersonal skills, with the ability to effectively convey complex statistical concepts to diverse audiences. Strong organizational skills and the ability to manage multiple projects simultaneously. Commitment to fostering a collaborative and inclusive learning environment. Minimum Salary USD $96,000.00/Yr. Maximum Salary USD $120,000.00/Yr.

Are you looking for exciting opportunities to help determine how to best defend the United States, our armed forces, and our allies from all forms of air and missle threats? Do you love to study something and find ways to make it better? If you are graduating with a PhD in Electrical Engineering, Engineering Physics, Physics, Mathematics, or similar degrees and want to work in an exciting and collaborative environment to solve challenging technical national security problems, we'd love to have you join our team. We are seeking innovative and talented technical graduates to join our Multi-Domain System Concepts Group to conduct modeling and analysis, identify defensive systems gaps, and develop new system concepts to revolutionize defensive capabilities for the U.S. You would apply math, engineering, and physics knowledge to implement models and simulations and analyze new concepts including sensors, battle management and communications systems, and kinetic and non-kinetic defensive systems. You would develop expertise in analysis, algorithm development, optimization, and modeling and simulation of a wide variety of U.S. Navy, Missile Defense, and Space systems. As a member of our team... * Your primary responsibility will be contributing to the development and assessment of Missile Defense systems. * You will model, analyze, and perform assessments of fielded systems and find opportunities for improvement, propose and develop innovative concepts/algorithms to improve capabilties, and conduct analysis to assess potential future systems performance. You will often conduct parametric analyses using high performance computing capabilities. You will sometimes develop prototype capabilities and work with real-world systems to transition ideas to fielded capabilities. * You will develop presentations to effectively communicate technical recommendations to APL leadership, government sponsors, and the engineering community. Qualifications You meet our minimum qualifications for the job if you... * Have a PhD in Electrical Engineering, Engineering Physics, Physics, Mathematics, or similar program * Are skilled in and/or have knowledge of programming and analysis, technical writing and presentation, as well as fundamental math and physics knowledge * Have proficiency in using MATLAB to conduct analysis, conduct algorithm development, and/or create visualizations of data * Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. You'll go above and beyond our minimum requirements if you... * Have direct experience with or domain knowledge of Navy, Missile Defense Agency, or Space Force systems * Have a final Secret or Top Secret clearance. About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ****************************** All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $102,500 Annually Maximum Rate $227,500 Annually

Senior Collaborative Statistician Department: NYU School of Global Public Health - Biostatistics Supervisor: Dr. Alex Dahlen Employment Dates: January 6, 2025 - December 19, 2025 Schedule: Full-Time / Hybrid The School of Global Public Health (GPH) and the Biostatistical Consultation and Collaboration Core (BC3) is recruiting a PhD-level Senior Collaborative Statistician. The position is full time (40 hours/week) and in-person at least 3 days a week. Provide statistical support on collaborative projects within GPH and other NYU schools. Assist with statistical consulting across various projects. Design and execute statistical analysis plans. Communicate results clearly through written reports and data visualizations. Take ownership of statistical work on projects with minimal supervision. Participate in regular meetings with investigators to discuss project progress. Contribute to weekly team meetings, providing updates and feedback to fellow statisticians. Other duties as assigned For more information about the BC3, see our website: ******************************************************************** Eligible candidates must have a Ph.D. or equivalent degree in statistics, biostatistics, or a related field. Candidates must be comfortable applying a range of statistical modeling techniques, and are expected to learn what they don't know on the job. They should have practical experience implementing at least one of following: survival data analysis methods; analysis of longitudinal and repeated measures data; methods for handling missing data; causal inference techniques; analysis of adaptive clinical trials; use of linear and non-linear models; use of non-parametric and parametric statistical methods; etc. Excellent oral and written communication skills are required, as the position involves independent communication and collaboration with physicians and scientists, typically leading to publications in medical and scientific journals. Candidates must have expertise performing statistical analyses using a statistical software such as R or Python. Ideal candidates will be passionate about open science, reproducibility, and scientific ethics.

We are seeking a Sr. Biostatistician who will be responsible for data management and analysis of multicenter clinical trials. The Sr. Biostatistician will supervise research data analysts and work with principal investigators to analyze and manage data from studies. Specific Duties & Responsibilities * Work with a multidisciplinary group on clinical trials and other longitudinal studies. * Collaborate with investigators on research projects with primary responsibility for analysis and presentation of project data. * Provide integration and analysis of biodata from multiple sources. * Provide expertise in statistical design, data management, and data analysis. * Contribute to the development and application of statistical methods to advance scientific goals of various projects. * Serve as lead Biostatistician with investigators to develop objectives, design sampling, randomization, and statistical analysis plans to achieve study objectives. * Design and perform appropriate methodologic procedures for statistical analysis, overall descriptive statistics, exploratory data analyses, including graphs, schematic summaries, and necessary transformations and confirmatory data analyses, including statistical tests and/or modeling. * Design, implement, and manage computerized systems for analysis of complex research projects to prepare scientific presentations related to study results. * Perform sample size and power calculations, generate randomization schema, and prepare statistical sections for research protocols and manuscripts. * Participate in regularly scheduled meetings with investigators and team that require statistical input. * Design tables and statistical procedures for specific research studies. * Write statistical design, methods, and analysis for manuscripts and research proposals. * Analyze data and prepare tables for interim and final reports. * Develop and apply new statistical methodologies. * Ensure data integrity and compliance with security policies governed by HIPAA and the Johns Hopkins IRB. * Oversight of one or more professional team members and project milestones. * Prepare progress reports and present to trial leadership. * Oversee production of TLFs to support safety reviews (including DSMBs), publications, and ongoing study reporting. * Program additional ad hoc requests to support clinical trial conduct and reporting including sample size calculations and data missingness. * Identify data discrepancies and collaborate with trial leadership to resolve. * Collaborate with project management to develop analytic timelines and deliverables. * Lead development of specifications for derived datasets used to generate data summaries and statistical analysis. * Other duties as assigned. Minimum Qualifications * Master's Degree in Biostatistics, Epidemiology, or related quantitative field. * Three years related experience. * Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Classified Title: Sr. Biostatistician Role/Level/Range: ACRP/04/ME Starting Salary Range: $64,600 - $113,300 Annually ($89,000 targeted; Commensurate w/exp.) Employee group: Full Time Schedule: M-F; 8:30 am - 5:00 pm FLSA Status: Exempt Location: Remote Department name: SOM Neuro BIOS Personnel area: School of Medicine

We are seeking a **_Biostatistician_** who will analyze large scale, longitudinal data. Analyzed data is abstracted and extracted from electronic health records, laboratory and pharmacy databases, and patient reported outcomes surveys. The Biostatistician will provide expertise on statistical design, data management (including data quality control), and data analyses to answer research questions using observational and longitudinal data. The Biostatistician will participate as a coauthor on manuscripts and presentations reporting study results. **Specific Duties & Responsibilities** + Use and expand existing SAS and R programs to clean and organize incoming JHHCC and CNICS data. + Identify potential problems with study data and collaborate with data managers to resolve issues. + Read concept sheets and draft statistical analysis plans specific to research objectives. + Generate analytic data sets, codebooks, and other documentation. + Analyze individual-level data to answer scientific questions of interest. + Prepare data tables and figures for publication and presentation at scientific meetings. + Contribute to technical/scientific writing and review drafts of concept sheets, reports, posters, and manuscripts, particularly descriptions of statistical methods and interpretation of results. + Document decision making during conduct of studies and archive code for purposes of reproducibility of research findings. + Navigate shared files and contribute to shared files to create a transparent research workspace. + Assist with writing approach section of research proposals. + Attend meetings and provide status updates on data processing and research projects. + Use professional judgment in handling sensitive information. _In addition to the duties described above_ + Develop table, listings, and figures (TLFs) shells in preparation for analysis programming + Program TLFs to support safety reviews (including DSMBs), publications, and ongoing study reporting + Program additional ad hoc requests to support clinical trial conduct and reporting including sample size calculations and data missingness. + Other duties as assigned. **Minimum Qualifications** + Master's Degree in Biostatistics, Epidemiology, or related quantitative field. **Preferred Qualifications** **Technical Skills & Expected Level of Proficiency** + Biostatistical Analysis - Developing + Data Management and Analysis - Developing + Data Validation and Quality Assurance - Developing + Data Visualization - Developing + Regulatory Compliance - Developing + Reproducible Research Practices - Developing + Scientific Communication - Developing + Statistical Methods - Developing + Statistical Programming - Developing _The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs._ Classified Title: Biostatistician Role/Level/Range: ACRP/04/MD Starting Salary Range: $55,800 - $97,600 Annually ($76,700 targeted; Commensurate w/exp.) Employee group: Full Time Schedule: M-F 8:30 am - 5:00 pm FLSA Status: Exempt Location: Remote Department name: SOM Neuro BIOS Personnel area: School of Medicine Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The University of Maryland Institute for Health Computing (UM-IHC) is a strategic collaborative between the University of Maryland, Baltimore (UMB) and the University of Maryland, College Park (UMCP), and the University of Maryland Medical System. Based in North Bethesda, MD, the institute focuses on artificial intelligence and advanced computing to further develop the field of precision medicine to improve well-being, quality of life, diminish disease, and enhance health outcomes for all citizens of Maryland and beyond. Learn how we're delivering a better state of care. We build upon our tradition of excellence in patient care and innovation, to be a national leader in the transformation of health care. Proud to be recognized by Forbes to the America's Best Large Employers for 2022, UMMS' flagship academic campus, the University of Maryland Medical Center in Baltimore, is recognized regionally and nationally for excellence in specialized care. University of Maryland Medical System (UMMS) delivers comprehensive health care services throughout Maryland. UMMS physicians and patient care teams work hand-in-hand with University of Maryland School of Medicine specialists to provide primary and specialty care at more than 150 locations across the state, including a network of academic, community and specialty hospitals that together provide 25% of all hospital-based care in Maryland. Functioning as One UMMS will allow us to create greater opportunities for our team members, provide more comprehensive care for our patients, and support more communities across Maryland. It will reaffirm our values and allow us to leverage the benefits of being part of a stronger, statewide system. In the end, we are not creating a new system; we are strengthening the one we have built. Together, we will honor our past and simultaneously look to our future, not just as a health care system, but as vital members of our communities. Learn more about One UMMS at ******************** Job Description This position has a hybrid work structure, where working from the office at regular intervals will facilitate building collaborations among the interdisciplinary teams at the IHC. General Summary The Senior Healthcare Data Scientist - Machine Learning/AI, Statistics, Operations Research position will join our Advanced Data Science group at the University of Maryland Medical System (UMMS) in support of its strategic priority to become a data-driven and outcomes-oriented organization. The successful candidate will have experience with Machine Learning/AI, Statistics and Operations Research and a passion for working with healthcare data. Previous experience with various computational approaches along with an ability to demonstrate a portfolio of relevant prior projects is essential. This position will report to the Director for Advanced Data Science & Consulting Services. Principal Responsibilities and Tasks Support and drive analytic efforts designed around the organization's strategic priorities and clinical/business problems. Develop and manage predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) analytic models in support of the organization's clinical, operations and business initiatives and priorities. Deploy solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems. Work with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings . Perform statistical analysis to evaluate primary and secondary objectives from such pilots. Develop strategic, tactical and operational presentations that summarize the results of predictive and prescriptive analytics projects in support of robust strategies for the organization. Build and extend our analytics portfolio supported by robust documentation. Lead cross-functional design teams to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements. Manage projects and initiatives for the medical system that include multi-disciplinary teams from technology, clinical and business groups. Mentor staff on effective problem-solving strategies and technical aspects of Machine Learning/AI, Statistics and Operations Research. Manage project plans and other required project documentation and provide updates to leadership as necessary. Develop and maintain relationships with business, IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communication. Assist senior leadership with strategies for scaling successful projects across the organization, and enhance the analytics applications based on feedback from end-users and clinical/business consumers. Assist senior leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization. Work with autonomy to find solutions to complex problems using open source tools and in-house development. Stay abreast of state-of-the-art literature in the fields of machine learning/AI, operations research, statistical modeling, statistical process control and mathematical optimization. Qualifications Education and Experience PhD degree in applied mathematics, data science, physics, computer science, engineering, statistics, economics, or a closely related field required; comparable work experience may be substituted for the PhD degree. 7+ years of industry experience in the following: Machine Learning/AI, Statistics or Operations Research. Programming with SQL, Python and R. Practical experience with machine learning/AI problems, or formulating and solving mathematical (deterministic and stochastic) optimization problems and simulation, or performing advanced statistical analysis. Developing and applying computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financial management, human resources, quality and supply chain). Developing and deploying healthcare-relevant predictive and prescriptive models. Combining analytic methods and advanced data visualizations. Text mining and Natural Language Processing (NLP) is preferred. Leading and managing projects and multi-disciplinary teams. Knowledge, Skills and Abilities Develop (from scratch) machine learning and/or deep learning approaches and algorithms to solve clinical and business (including operations, supply chain, human resources, finance) problems. Formulate and solve complex mathematical optimization problems using exact and heuristic approaches. Perform independent/unsupervised exploratory data analysis and advanced statistical analysis (e.g., regression analysis, cluster analysis, factor analysis, ANOVA). Design and prototype new application functionality for our products. Work with “real world” data including scrubbing, transformation, and imputation. Capable of artful storytelling and clearly presenting findings in oral and written format and through graphics to stakeholders at various organization levels. Knowledge of databases, data structures, data processing and data mining from large enterprise transaction systems (e.g., Epic, Infor/Lawson, McKesson HPM, Payer Claims or similar applications in healthcare or other industries). Effective at working independently and in collaboration with other staff members for software platform and web application development. Cooperatively and effectively work with people from various organization levels. Manage projects and cross-functional teams to meet organizational goals. Plan work, set clear direction, and coordinate own tasks as well as project team's tasks in a fast-paced multidisciplinary environment, including triaging issues, identifying data anomalies, and debugging software. Able to compare, contrast, and validate work with keen attention to detail. Actively generate process improvements; support and drive change, and confront difficult circumstances in creative ways. Additional Information All your information will be kept confidential according to EEO guidelines. Compensation: Pay Range: $70.34- $112.31 Other Compensation (if applicable): Review the 2024-2025 UMMS Benefits Guide

Teaching kids to think critically and communicate effectively has never been more important, and NoRedInk helps students become better writers in more than 60% of U.S. school districts. We're looking for a Full Stack Data Scientist to work with a team of data professionals in solving customer, product, and business problems through data science and advanced analytics, large language models and other machine learning models, as well as data architecture and infrastructure improvements. In this role, you will: Drive objectives in collaboration with members of the data team and colleagues across the company Partner across Product and Engineering to advance our data science and AI/ML capabilities; leverage LLMs and Generative AI to enhance product features and business operations; assist teams with model selection, implementation, and optimization Utilize strong project management skills for efficient and effective delivery of data-related projects for cross-functional stakeholders, owning the end-to-end lifecycle of ML models Effectively leverage our data warehouse and tools like Snowflake, Sigma, Mixpanel, and Google Analytics Conduct rigorous testing and analysis to validate model performance, monitor model drift and performance in production, and implement retraining strategies as appropriate Contribute to data team efforts aiming to develop actionable business intelligence Advise product and engineering leadership, continually improving the product and the organization as a whole while simultaneously learning and growing as an individual contributor Mentor team members and contribute to the team's technical roadmap About You: 8+ years experience in a data science or analytics role Degree or equivalent experience in statistics, analytics, mathematics, computer science, or a related quantitative field Experience leveraging LLMs to both improve the software development process and deliver features in production Experience building and training predictive models using leading machine learning frameworks A strong focus on end-to-end delivery, leveraging full-stack capabilities including data engineering and ETL tooling, model deployment, MLOps, observability, etc. Proficient with the use of BI and data analysis tools, data warehousing, data visualization, data architecture, data-driven storytelling and other higher level data concepts Strong collaboration, communication, and presentation skills with the ability to move fluently between metrics and business outcomes, reinforcing and ultimately championing those connections for others Fluency with SQL and Python Familiarity with agile methodologies and project management tools An interest in and an awareness of data privacy and compliance considerations Open to working with a team spanning US-Pacific to US-East time What NoRedInk Offers: A competitive salary and equity package in a well-funded startup with strong product-market fit Excellent health, vision, and dental benefits (U.S. Only) 100% remote work environment Flexible PTO and paid parental leave 401(k) (U.S. Only) Team retreats and events to connect with fun, talented coworkers The ability to help millions of students and teachers and address a critical societal need About NoRedInk: NoRedInk helps students in over 60% of US school districts become better writers. Our deeply engaging, adaptive curriculum personalizes exercises to kids' interests, guides them through the writing process with instructional support, and boosts their skills through targeted practice. Students have completed over 10 billion exercises on our site, and our mission is to help all students harness the power of the written word. Check out our press page, including our 2-minute pitch on NBC and articles in The Washington Post, Wall Street Journal, and Forbes. NoRedInk believes that diversity and inclusion among our teammates is critical to our success, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. At NoRedInk, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy, national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information, military and veteran status, and any other characteristic protected by applicable law. Compensation at NoRedInk is robust and includes a full range of benefits, unlimited PTO, monthly co-working stipends, an initial home-office set-up stipend, and generous equity. Our salary ranges are based on factors such as expectations as laid out in the job description, location-specific market data, internal parity, and the experience and skills of individual candidates. Therefore, the compensation range is $170,000 - $200,000 and accounts for a variety of locations and skills/experience. Please know that if you are invited to speak with a recruiter at NoRedInk, they will have an open discussion about compensation during your first call to ensure alignment. *Note: Agencies or other third-party recruiters may not submit unsolicited candidate resumes or their information to any NoRedInk employee, including a NoRedInk Recruiter, unless a contract is signed and you are given permission by the Talent Acquisition team to work on a job opening.

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Overview The Senior Data Scientist is a strong contributor to the Biometric Assumptions Team, which provides analytical expertise for the global development of data-driven solutions in longevity product development and pricing. This role involves combining technical skills and predictive modelling to contribute to innovative model solutions and collaborates on project-teams consisting of data scientists, actuaries, IT, and business developers. The Senior Data Scientist will focus on internal mortality assumption development for longevity markets by leveraging new and existing data sources through exploratory analysis, insights, model maintenance, and model R&D. Responsibilities * Lead, design, create, and interpret end-to-end models with a typical focus on mortality within longevity markets. * Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes. * Evaluate new external data sources and explore new applications of non-traditional data sources for RGA in its various regions. * Participate in the development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards * Communicate with a variety of stakeholders at various levels of seniority * Offer risk management skills to any data processing or modeling exercise: * Understand business context & where material scope for error lies * Adhere to professional standards, best practices, and ethical guidelines * Understand the strengths and limitations of a modeling approach * Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in such as: * Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines * Stay abreast of new techniques, but focusing on practical applications * Liaise with RGA's data scientists across the globe about more sophisticated data science applications * Contribute to RGA's global analytics community, routinely sharing, maintaining consistency of approach Requirements * Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field * 6+ years of experience developing statistical models (Regression, Decision Trees, Time Series, etc.) * Statistical programs/languages (R or Python) * Spreadsheet skills (Excel/VBA) and database applications (SQL, Snowflake, Oracle,...) * Advanced predictive modeling skills: Tree-based models, GLMs, GAMs, etc.; Cross-Validation, Residuals and model diagnostics; Basic Statistical concepts for feature engineering (e.g. percentiles, standardization, correlations, risk ratios / chi-square test, splines, and other non-linear transformations) * Advanced exploratory data analysis skills - Plots and graphics (BI/ggplot) * Ability to compile, analyze, refine, model and interpret very large data sets as well as the ability to incorporate expert judgment into statistical modeling techniques * Transform data to enhance its predictive value (feature engineering) * Advanced ability to translate business needs and problems into viable/accepted solutions * Advanced investigative, analytical, and problem-solving skills Preferred * Experience with longevity product design / pricing / experience studies / assumption development * Reinsurance industry experience * Master's degree or PhD in Statistics, Actuarial Science, Economics, or related field * 4+ years of experience with statistical modeling for insurance * Familiar with actuarial modeling platforms (AXIS, Prophet, Exp Studies etc.) * Basic data engineering capabilities (Python, Scala) * Basic machine learning models/concepts (SVM's, GAN's, Neural Networks/Deep Learning, Naive Bayes, NLP) and/or basic statistical concepts for feature engineering for dimensionality reduction such as PCA's, SVD's, and clustering * Proactive use of insurance expertise & actuarial concepts to feature engineering and model evaluation LI-DL1 #LI-HYBRID What you can expect from RGA: * Gain valuable knowledge from and experience with diverse, caring colleagues around the world. * Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. * Join the bright and creative minds of RGA, and experience vast, endless career potential. Compensation Range: $123,500.00 - $184,050.00 Annual Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

Come help us build the world's best omni-channel software! Deposco is seeking a Senior Data Scientist to join our Data Science team, focused on R&D innovation. You will use your analytical expertise to create innovative solutions to supply chain and commerce execution, planning, and strategy problems. Working alongside our team of product managers and software developers, you will help design and deploy these solutions to the Deposco platform - affecting real value in our customers' businesses. The right candidate will have a strong background in data science methods, an enthusiasm for problem-solving, self-motivation, and effective communication skills. WHAT YOU'LL DO Design and implement AI solutions to solve complex supply chain and commerce problems. Develop AI-powered features that enhance prediction, optimization, and automation within our platform. Collaborate with software engineers to integrate AI models into the Deposco platform. Work with product owners to design innovative features leveraging AI capabilities. QUALIFICATIONS M.S. (Ph.D. preferred) in Computer Science, Machine Learning, AI, or related field, or equivalent experience. Expert-level programming skills in Python (experience with AI frameworks and agent architectures a plus). Strong understanding of AI agent architectures, prompt engineering, and AI-assisted automation. Experience with generative AI systems and large language models (LLMs). Proficiency with SQL and database concepts for data preparation. Solid background in data science fundamentals and machine learning. Excellent communication skills, with ability to explain complex AI concepts to non-technical stakeholders. A sense of curiosity and passion for staying current with rapidly evolving AI technologies. PERKS Be part of an energetic team that is serious about delivering software to customers and cultivating our culture. We work awfully hard and are having a blast doing it. This team believes that what we are doing is a game-changer in the industry Coffee bar with cold brew on tap and a full time barista Standing desk (if you're into that sort of thing) Corporate events including food trucks, Top Golf and other shenanigans Corporate office with co-working spaces, ping-pong tables, corn-hole boards, and Avalon around the corner Benefits package including health care, paid time off, life insurance, 401k plan (with match), and gym reimbursement Be part of a team recognized 5 years running as an AJC Top Workplace

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist, Wharton Graduate Division Job Profile Title Summary The Senior Data Scientist - Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and Global Wharton MBA programs. Reporting to the Director of Data Science, this role is instrumental in advancing analytics-driven solutions that enhance the student experience and improve office productivity. This position will lead the enhancement, maintenance, and expansion of Wharton's Course Match registration system-Wharton's MBA registration system that allocates course schedule. As a technically advanced implementation of modern mechanism design, Course Match is central to the MBA academic experience and requires continued refinement and innovation. The Senior Data Scientist will contribute directly to its algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in evaluating and integrating a new optimization engine into Course Match, collaborating with internal stakeholders such as the MBA Program Office, Wharton Computing, and the University Registrar, and engaging with external vendors to ensure system robustness, scalability, and alignment with institutional practices, policies, and priorities. Beyond Course Match, the Senior Data Scientist will contribute to a broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major focus will be building reusable, scalable, and automated Python-based solutions that enable long-term innovation within the MBA Program Office and Wharton Computing. The ideal candidate brings a strong background in algorithmic systems and applied data science, with a demonstrated ability to manage complex technical projects from ideation through deployment. They will be adept at translating technical insights for diverse audiences, fostering cross-functional collaboration, and providing mentorship and thought leadership to colleagues. Outstanding communication skills and a highly collaborative mindset are essential. **This role is a two-year appointment, with the potential for continuation. Job Description Duties + Lead development and ownership of Course Match + Serve as the primary developer and systems owner for Course Match registration system, including algorithm and infrastructure integration. + Algorithmic and performance refinement + Design and implement enhancements to Course Match's algorithmic infrastructure, including optimization tuning, performance analysis, heuristic development (e.g., Tabu Search), mixed-integer programming (MIP), and system diagnostics. + Internal and external collaboration and system integration + Partner with internal stakeholders and external vendors to support the integration of a new optimization engine. Participate in vendor evaluation, architecture planning, and system design discussions to ensure successful deployment and infrastructure integration. + Data science project contributions beyond Course Match + Contribute to high-impact academic affairs and data science initiatives beyond Course Match, including AI integration, process automation, and machine learning. Build robust Python-based solutions that promote reusability, automation, and scalability. + Infrastructure development and automation + Develop and maintain analytics infrastructure and automation pipelines to support data workflows across the MBA Program Office and Wharton Computing. Apply best practices in software development, testing, and version control. Qualifications + Master's degree and 1-2 years of experience in a quantitative field such as Engineering, Data Science, Computer Science, Operations Research, Mathematics, or a related discipline is required; however, a Master's degree and at least 5 years of relevant experience is strongly preferred. + Strong programming proficiency in Python is required, including experience developing modular, well-documented, and production-grade code. Familiarity with version control systems (e.g., Git) and test-driven development is strongly preferred. + Demonstrated expertise in algorithmic systems or large-scale computational frameworks, with hands-on experience in one or more of the following: heuristic search methods (e.g., Tabu Search), combinatorial optimization, mixed-integer programming (MIP), or algorithmic market design. + Experience working within multi-component software environments and integrating external libraries, APIs, or platforms. Familiarity with systems integration and data engineering practices is preferred. + Experience supporting or participating in vendor evaluations or third-party system integrations is strongly preferred. Ability to engage with external vendors on technical system design, performance review, and implementation. + Applied experience with core data science methods, including statistical modeling, predictive analytics, and machine learning. Proficiency with tools such as R, SQL, and Power BI is a plus. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $100,000.00 - $140,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics) , citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law . Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits + Health, Life, and Flexible Spending Accounts : Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. + Tuition : Take advantage of Penn's exceptional tuition benefits . You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. + Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. + Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. + Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. + Wellness and Work-life Resources : Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. + Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. + University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. + Discounts and Special Services : From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. + Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. + Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. + Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: ******************************************** The University of Pennsylvania's special character is reflected in the wide variety of backgrounds, experiences, and perspectives of the Penn community. We seek talented faculty and staff who will constitute a vibrant community and help create an educational and working environment that best supports the University's commitment to excellence in teaching, research, and scholarship. The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status, or any class protected under applicable federal, state or local law.

The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist - Genetics Job Profile Title Summary The UPenn department of genetics is seeking a Senior Data Scientist for clinical genomic pipeline design and implementation. Job Description The successful candidate will be working with a broad team of quantitative analysts, including Statisticians, Data Scientists, Clinical and Basic trainees, and other bioinformaticians. Their role will involve developing and implementing new quantitative strategies to improve our understanding and ability to diagnose genetic disorders through a large-scale genomic clinically grade testing. Senior Data Scientists are passionate about applying their knowledge of biology and of methods for molecular, cellular or radiologic data-analysis to uncover general principles of genetic disorders and use these to create clinically useful biomarkers. They will develop, extend and apply computational pipelines for data-analysis to patient cohorts ranging from tens of individuals to hundreds of thousands. These will be executed at scale via distributed software solutions on both local HPC and cloud-based assets. Our datasets comprise petabytes, and are growing rapidly, linked to key clinical endpoints. This requires a strong background in biology to help ensure the right questions are asked, but linked to strong technical and personal communication skills, to help ensure insights are broadly adopted and appropriate analyses are performed. You may work with molecular (WGS, panel-sequencing, RNA-Seq, proteomic) or imaging (digital pathology, radiomic) data, and practical experience in one of these two areas is essential. Beyond your strong inter-personal skills and computer science background, you will have experience with implementation skills at least one of R, Perl or Python. You will be comfortable in UNIX/Linux environments and producing well-documented code. Multi-year experience (>10years) with cloud-computing or HPC is essential. Master of Science and 1 to 2 years of experience, or an equivalent combination of education and experience required. Ph.D. preferred. This position is contingent upon grant funding. Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $100,000.00 - $160,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits * Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. * Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. * Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. * Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. * Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. * Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. * Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. * University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. * Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. * Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. * Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. * Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: ********************************************

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive. **Job Location (Full Address):** 30 Corporate Woods, Suite 180, Rochester, New York, United States of America, 14623 **Opening:** Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 910395 Health Lab Work Shift: UR - Day (United States of America) Range: UR URG 114 Compensation Range: $86,482.00 - $129,723.00 _The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations._ **Responsibilities:** GENERAL PURPOSE Provides specialized depth and breadth of expertise in the design, implementation and dissemination of advanced analytics and data science projects. Works with and advises key stakeholders to provide analysis and insights to enable data-driven decision-making. Provides leadership and mentorship in the development and evolution of advanced statistical and mathematical methods, including machine learning capabilities. Works in partnership with, and provides guidance to, team members solving complex problems to ensure robust, scalable analytics solutions and implementing them efficiently and effectively across the enterprise. **ESSENTIAL FUNCTIONS** + Translates complex data into insights and compelling stories. + Presents data models, analyses and visuals, including dynamic visuals such as dashboards, to internal and external stakeholders. + Iterates and refines based on feedback. + Makes recommendations and provides actionable insight to stakeholders based on analysis. + Partners with operational and clinical leaders to implement recommendations and provides consultation as needed. + Provides expert consultation to high-level external stakeholders, including senior and executive leadership. + Guides strategy and influences project priorities, direction and scoping. + Understands underlying clinical and research requirements and formulates, designs and executes analytical solutions to support them. + Reviews and approves team's analysis and analytic products. + Analyzes and models structured data and implements algorithms to support analysis using advanced statistical and mathematical methods. + Designs, develops and implements robust, reproducible processes to prepare, extract and enrich a variety of structured and unstructured data sources. + Provides scalable solutions and collaborates on dissemination efforts. + Creates and implements data science solutions to support analytical efforts and expand dashboard capabilities. + Leads team in developing, managing and executing project plans. + Offers subject matter expertise on ML and related analytic approaches. + Completes agile development of data models, ML pipelines, dashboards and reporting. + Cultivates new data sources to offer insights and analyses needed for research and decision-making. + Maintains current knowledge base and expertise relative to the technology and software used by functional areas being supported. + Assigns and reviews the work of assigned personnel. + Instructs personnel on established standards and provides technical knowledge and guidance to ensure optimum efficiency and project progress. Other duties as assigned **MINIMUM EDUCATION & EXPERIENCE** + Bachelor's degree and 4 years of relevant experience required + Master's degree preferred + Or equivalent combination of education and experience + Considerable experience with relational databases required **KNOWLEDGE, SKILLS AND ABILITIES** + Strong attention to detail, ability to develop creative solutions to complex problems, and strong critical thinking skills required + Strong analytic, qualitative and quantitative data analysis skills, with demonstrated ability to break down complex problems into phased deliverables required + Excellent verbal and written communication and presentation skills, including the ability to describe data science concepts to lay/nonexpert audiences required + Proficiency with Python (or R), including common machine/deep learning libraries and their implementation required + Fluency with data visualization tools, such as Tableau, Spotfire or PowerBI required + Ability to work independently and successfully complete assigned tasks on time without direct oversight required The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law. Notice: If you are a **Current Employee,** please **log into my URHR** to search for and apply to jobs using the Jobs Hub. Your application, if submitted using this portal, cannot be moved forward. **Learn. Discover. Heal. Create.** Located in western New York, Rochester is our namesake and our home. One of the world's leading research universities, Rochester has a long tradition of breaking boundaries-always pushing and questioning, learning and unlearning. We transform ideas into enterprises that create value and make the world ever better. If you're looking for a career in higher education or health care, the University of Rochester may offer the perfect opportunity for your background and goals. At the University of Rochester, we are committed to fostering, cultivating, and preserving an inclusive and welcoming culture and are united by a strong commitment to be ever better-Meliora. It is an ideal that informs our shared mission to ensure all members of our community feel safe, respected, included, and valued.

Senior Data Scientist - (2500031I) Description Build scalable, production ready machine learning and statistical models to improve healthcare data latency through automation. This role will focus on advanced statistical and machine learning solutions collecting, cleansing, interpreting large volumes of data from varying sources, designing and delivering production ready models, monitoring and maintaining models' health in production, all while communicating key findings with stakeholders. Qualifications Minimum EducationBachelor's Degree A Bachelor's degree in a quantitative/statistical or business field (e. g. , Statistics, Mathematics, Engineering, Computer Science). (Required) Master's Degree Masters preferred. (Preferred) Minimum Work Experience6 years Requires deep functional knowledge with 6+ years of related experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required) Required Skills/KnowledgeExperience working in a heavily regulated industry. Healthcare is a plus. Advanced course in machine learning and programming. Experience working with global distributed multicultural teams. Experience with agile leadership. Experience with building, delivering and maintaining production ready machine learning models. Knowledge of statistical data analysis and machine learning such as linear models, time series forecasting, neural network, random forest and NLP models, etc. Expert in Python coding and utilization of machine learning and statistical packages for modeling. Experience with database skills, SQL, NoSQL, coding for ETL. In depth understanding of machine learning algorithms such as random forest, neural network, graph models, NLP, etc. Familiarity with Spark, Azure, Databricks, MLFlow AutoML. Experience and familiarity with backlog management tools and resources, ideally with JIRA and Confluence. Seeks to acquire knowledge in area of specialty. Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions. Ability to work independently. Demonstrated analytical skills. Demonstrated project management skills. Demonstrates a high level of accuracy, even under pressure. Demonstrates excellent judgment and decision-making skills. Ability to communicate and make recommendations to leadership. Ability to drive multiple projects to successful completion. Possesses technical aptitude. Excellent verbal and written communication skills, communicate complex findings in a clear and understandable manner Excellent facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation Attention to detail. Communicate complex findings in a clear and understandable manner Collaborate effectively with cross-functional teams Adapt to changing priorities and thrive in a dynamic environment Functional AccountabilitiesDesigns, develops and delivers statistical and/or machine learning models that solve business problems and work with engineers to make them production ready. Develops, utilize and monitor end-to-end machine learning pipeline from data ETL to model delivery for product ionization. Leads rapid prototyping for new business problems to support feasibility analysis for AI products. Shares complex ideas verbally and visually wit broad audience from technical and non-technical background Builds and adopts solutions to automate and integrate data science processes. Researches latest and best solutions to solve data challenges at hand. Interprets and communicates results of complex models with cross functional team and the stakeholders. Generate internal implementations to achieve results. Work closely with the software engineering teams to drive scalable, production ready implementations. Collaborate with teams across the organization. Document technical work as part of the production deployment process. Contribute to our evolving cloud infrastructure and data engineering pipeline. Contribute to scientific software engineering efforts utilizing professional coding standards. Collaborate with business partners to develop new models and concepts for continuous improvement. Performs other duties as assigned. Complies with all policies and standards. Organizational AccountabilitiesOrganizational Accountabilities (Staff) Organizational Commitment/Identification Anticipate and responds to customer needs; follows up until needs are met Teamwork/Communication Demonstrate collaborative and respectful behavior Partner with all team members to achieve goals Receptive to others' ideas and opinions Performance Improvement/Problem-solving Contribute to a positive work environment Demonstrate flexibility and willingness to change Identify opportunities to improve clinical and administrative processes Make appropriate decisions, using sound judgment Cost Management/Financial Responsibility Use resources efficiently Search for less costly ways of doing things Safety Speak up when team members appear to exhibit unsafe behavior or performance Continuously validate and verify information needed for decision making or documentation Stop in the face of uncertainty and takes time to resolve the situation Demonstrate accurate, clear and timely verbal and written communication Actively promote safety for patients, families, visitors and co-workers Attend carefully to important details - practicing Stop, Think, Act and Review in order to self-check behavior and performance Primary Location: Maryland-Silver SpringWork Locations: Inventa Towers 1 Inventa Place Silver Spring 20910Job: Information TechnologyOrganization: OperationsPosition Status: R (Regular) - FT - Full-TimeShift: DayWork Schedule: 8a-430pJob Posting: Nov 10, 2025, 7:10:17 PMFull-Time Salary Range: 109116. 8 - 181854. 4