Data Scientist

The Yale University Office of the Provost, Institutional Research team is seeking a Data Scientist to support university decision-making through research studies, data collection, statistical analysis, and clear communication of findings.

Role Summary

This position collaborates with administrators, faculty committees, and stakeholders to refine policy research questions and perform analyses. Work includes designing and interpreting measures of community experience, as well as integrating research methodologies across multiple projects into biostatistical analyses.

Key Responsibilities

• Develop operational procedures for collection, editing, verification, and management of statistical data.
• Develop and implement statistical programs to incorporate data from multiple projects.
• Design relational databases with practical understanding of scientific applications influencing data analysis and reporting.
• Support faculty and other research professionals in formulating and describing appropriate statistical methods.
• Evaluate research studies and recommend statistical procedures for analyzing study data.
• Conduct comprehensive statistical analyses across a broad range of data types and study types.
• Prepare reports summarizing analyses, interpreting results, and providing conclusions and recommendations.
• Present talks, seminars, or other oral presentations covering methodology and analysis used in scientific studies.
• Assist investigators with research grant applications by writing research methods sections related to data acquisition, analysis, relevance, and validity.
• Participate in preparation of manuscripts submitted for peer-reviewed publication.
• May supervise and train lower level or less experienced employees.
• May perform other duties as assigned.

Required Qualifications

• Proficiency in one or more programming languages for statistical analysis and data preparation (R or Python preferred; SAS, Stata, MATLAB). Proven ability to create large, complex data sets from disparate sources while maintaining data quality for both analysis and data management.
• Demonstrated skill producing visualizations using coded processes (e.g., Tidyverse, Quarto, Shiny).
• Commitment to aligning effective data communication with rigorous research design and analysis. Excellent collaboration with the ability to translate technical information to non-technical audiences, exercising sound judgment, tact, and discretion.
• Proven ability to operate independently, manage multiple tasks, and meet deadlines through prioritization and follow-through.
• Ability to adapt to changing priorities by weighing multiple factors such as mission, client goals, statistical rigor, research ethics, and timeline, and identifying alternative approaches.
• Master’s Degree in Biostatistics, Statistics, or a related field and four years of experience, or an equivalent combination of education and experience.

Technologies

• R, Python, SAS, Stata, MATLAB
• Tidyverse, Quarto, Shiny
• SQL

Preferred Education and Experience

• Experience with R or Python.
• Experience or training in design of quantitative and qualitative assessments.
• Experience executing queries against relational databases (e.g., SQL).
• Master’s Degree or higher in Biostatistics, Statistics, or a related quantitative field such as data science, social sciences, econometrics, public health, and computational sciences.

Work Model and Logistics

• Location: New Haven, CT (hybrid)
• Office location: 2 Whitney Avenue, New Haven, Connecticut
• Hybrid requirement: employees work a minimum of 3 days per week in person
• Time type: Full time
• Duration type: Staff
• Department: Institutional Research

Compensation

Salary range: USD 82,000 to USD 131,500 per year.

Benefits

A general description of benefits to be offered with this Managerial & Professional position is available at Yale Benefits.

Additional Notes

• Finalists may be required to provide additional information or work samples to demonstrate proficiency in key competencies relevant to the role.

Background Check Requirements

• All candidates will be subject to pre-employment background screening, which may include motor vehicle, DOT certification, drug testing, and credit checks based on job requirements.
• Offers are contingent on successful completion of the background check.

Health Requirements

Certain positions have associated health requirements based on specific job responsibilities, which may include vaccinations, tests, or examinations as required by law, regulation, or university policy.

Posting Details

• Job posting date: 10/30/2026