Statistician Lead

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The Institute for Social Research (ISR) at the University of Michigan wants to employ a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the university, and to ground our research in varied disciplines, perspectives, and ways of knowing and learning.

The Health and Retirement Study (HRS) Program is a research program housed within the Survey Research Center (SRC) at the ISR. The HRS program supports multiple research projects surrounding the health and economics of aging.

If you join our team, you will provide high-level statistical and analytic leadership to the HRS team, working closely with faculty investigators, in the following areas: evaluating sample representativeness for HRS subsamples; analysis of HRS paradata, including advanced statistical modeling of important survey outcomes; choices and acquisition of state-of-the-art statistical software for meeting analytic objectives; management and analysis of linked administrative records; data visualization; and both conceptualization and construction of advanced data products. An area of emphasis for us is to lead statistical work on ongoing methodological projects being conducted by HRS faculty and staff. You will work with faculty investigators, senior research staff, and supervise graduate students on issues of data management, statistical analysis, and survey design. You will report to the lead methodological co-I of the HRS, interact with and support for researchers across the country, and work closely with international research collaborators.

Why Work at Michigan?

In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family and plan for a secure future. Benefits include:

  • Generous time off
  • A retirement plan that provides 2:1 matching contributions after the first year
  • Many choices for comprehensive health insurance, including vision and dental options
  • Life insurance
  • Long-term disability coverage
  • Family Leave
  • Flexible spending accounts for healthcare and dependent care expenses
  • Potential for flexible scheduling and remote opportunities are available within overall SRC policies


             Statistical Analysis: Perform high-level systems and statistical analysis, along with data linkage and standardization, in SAS, R, and Stata. Help develop non-response adjustments to survey sampling weights and item non-response data imputations for several HRS projects. Analyze linked administrative records, including Medicare and Medicaid data. Advise and train other HRS staff, and supervise graduate students in appropriate statistical methods.

             Data Product Development: Develop data products drawing on statistical modeling of public and administrative data. Create documentation for users explaining sources and methods used.

             User and Client Support: Respond to requests from sponsors/researchers. Provide consultation. Participate in instructional and outreach activities.

             Sharing of Findings: Participate in grant and report writing. Compile research results and author/co-author papers for publication in reports, journals, books, and other media. Present findings at professional meetings and conferences.

Required Qualifications*

             Bachelor's degree in statistics, biostatistics, survey research methods, or related quantitative social science disciplines or fields related to the responsibilities associated with the position, AND eight (8) years of experience working with complex sample survey data, or equivalent combination of education and experience.

             Knowledge of longitudinal survey design.

             Successful client relations experience with ability to manage concurrent multiple projects to deadline.

             Demonstrated expertise in the use of SAS for data management and analysis.

             Knowledge of Stata, SPSS, and/or R.

Additional Information

(1) You must submit a cover letter and resume as a single document to be considered for this position. The cover letter should address your specific interest in the position and outline your skills and related experience.

(2) The expected salary range for this position is of $95,000-$110,000, determined by experience.

(3) Job openings are posted for at least fourteen calendar days. The review and selection process may begin as early as the fifteenth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.

U-M COVID-19 Vaccination Policy

COVID-19 vaccinations, including boosters when eligible, are required for all University of Michigan students, faculty and staff across all campuses, including Michigan Medicine.  This includes those working remotely.   More information on this new policy is available on the Campus Blueprint website or the UM-Dearborn and UM-Flint websites.