School of Public Health - Health Policy and Management

85910BR

Data Scientist 1

None - Not included in the union (Yale Union Group)

Full time

Fixed

2 years from date of hire

Yes

30-Jan-2026

Administration & Operations

Manager; Program Leader (24)

Click here to see our Wage Ranges

Administration, Computing and Information Systems

37.5

Standard (M-F equal number of hours per day)

Medical School Campus

60 College Street
New Haven, CT 06510

Hybrid

The Yale School of Public Health (YSPH) catalyzes health for all through innovative and collaborative science, learning and action. A portfolio of work, led by Chima Ndumele and Jacob Wallace, focuses on how vulnerable populations connect with and access health care resources with a particular focus on the Medicaid program. This portfolio has two components: 1) research on how the organization of the social safety-net and how its’ design influences access to care and health outcomes; and 2) optimizing the delivery of services in State Medicaid programs, including Connecticut.
This group is seeking a Data Scientist. This is an exciting opportunity for a skilled programmer who is motivated by the opportunity to produce rigorous, empirical evidence to improve public policy. The ideal candidate is an expert programmer who is fluent in either R or Python and other programming languages such Stata, has experience with large and complex health care datasets, knowledge of causal inference, and believes in YSPH’s mission. The individual will be responsible for: working with faculty and the Director of Data Science and Analytics to explore, process, and analyze data to solve specific research questions cleaning, merging, and implementing linkages of data across multiple sources and projects to facilitate research across the group building traditional statistical models and machine learning algorithms for a variety of research projects using data science, econometric, and machine learning methods to extract meaning from data and identify causal relationships creating clear and impactful visualizations of research results for papers/reports, website, memos, and presentations targeting academic researchers and policy-makers writing and reviewing code and documenting best practices sharing coding best practices with incoming pre-doctoral research fellows opportunity to contribute to analysis plans, executing on those plans with regular guidance from the Director of Data Science and Analytics opportunity to make substantive contributions to publications.
he Position Focus most accurately describes this role, while the Essential Duties provides general context for all Data Scientist roles at Yale.

Develop and execute new and/or highly complex algorithms and statistical predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes.Establish analytical rigor and statistical methods to analyze large amount of data, using advanced statistical techniques and mathematical analyses. Manage analytical projects from data exploration, model building, performance evaluation, through implementation.Develop work plans and monitor progress and project timelines.Document coding and changes to work plans using established work group methods in GitHub.Interact with a multidisciplinary team of internal and external peers to regularly, effectively, and openly communicate progress and outcomes of planned work.Attend weekly team meetings to discuss team and project-related activities, issues, change, communications, and updates.

Master’s Degree in computer science, applied/computational mathematics, engineering, biostatistics, statistics, or a quantitative field such as astronomy or geology, economics, health policy, health services research, public policy, or a related field and two years of experience or an equivalent combination of education and experience.

Demonstrated ability working with large and complex datasets.

Fluency in multiple programming languages including either R or Python.

Knowledge of social science or econometric research methods.

Strong organizational skills, attention to detail, and ability to prioritize and manage multiple assignments simultaneously.

Strong interpersonal skills, communication skills, and the ability to interact well with faculty, staff, and research partners internally and externally.

Graduate Degree in in computer science, data science, statistics, economics, or related field and at least two years of related data analysis experience. Health policy research experience. Experience working with Medicaid and health data.

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All candidates for employment will be subject to pre-employment background screening for this position, which may include motor vehicle, DOT certification, drug testing and credit checks based on the position description and job requirements. All offers are contingent upon the successful completion of the background check. For additional information on the background check requirements and process visit "Learn about background checks" under the Applicant Support Resources section of Careers on the It's Your Yale website.

The University maintains policies pertaining to COVID-19. All faculty, staff, students, and trainees are required to comply with these policies, which may be found here:
https://covid19.yale.edu/health-guidelines

The intent of this job description is to provide a representative summary of the essential functions that will be required of the position and should not be construed as a declaration of specific duties and responsibilities of the particular position. Employees will be assigned specific job-related duties through their hiring departments.

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