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How to Apply

A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

Job Summary

The Department of Internal Medicine, Division of General Medicine, is seeking an experienced and motivated statistical analyst to support the analysis of data derived from surveys, insurance claims, and publicly available datasets. The position presents an exciting and challenging opportunity to contribute to the research of a faculty member focused on health services and health policy related to low-income, aging, and other vulnerable populations. The faculty is a member of the Institute for Healthcare Policy and Innovation (IHPI), which is a broad, interdisciplinary research group focused on evaluating the impact of health reform, improving the health of communities, promoting greater value in healthcare, and innovating in IT and healthcare delivery.


This position requires proficiency in diverse research methods, analyses of primary and secondary data, assistance in writing manuscripts and methods sections for grants. The ability to apply independent problem solving to existing and emerging scientific knowledge is required. In addition, the research involves opportunities to apply advanced quasi-experimental methods. Participation in ongoing training, collaborative research meetings, and advanced methods workshops are supported and encouraged.

Mission Statement

Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally.  Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.


This position involves a wide range of tasks related to management and analysis of quantitative data from surveys, claims, and publicly available sources. Specifically, the position involves providing independent and collaborative statistical support including:

  • Determining the appropriate statistical testing/modeling approach in accordance with the project's design.

  • Utilizing accurate and innovative methods to solve analytic problems.

  • Independently conducting appropriate data analyses through computational implementation of statistical methods.

  • Creating, manipulating, merging, and maintaining large, complex datasets.

  • Implementing methods to ensure data quality including sensitivity and subgroup analyses.

  • Performing power calculations and estimating sample size.

  • Summarizing, interpreting, and presenting results in written, tabular and visual formats for reports, manuscripts, and presentations.

  • Preparing and maintaining technical documentation of data and analysis files.

  • Drafting methods or related specific analysis plans for projects/manuscripts.

  • Assisting in the writing of manuscripts and grant proposals.

Required Qualifications*

  • Master’s degree in statistics, biostatistics, public health, public policy, or a related field focused on data analysis and interpretation.

  • One or more years of experience using Stata for statistical analyses.

  • Strong computational skills.

  • Experience with complex data structures and linkages between data sources.

  • Ability to prioritize, organize, and efficiently work on multiple projects at the same time.

  • Must be consistently and extremely detail-oriented.

  • Flexibility and ability to work independently and collaboratively with researchers.

  • Ability to accurately and efficiently assess technical problems and provide/program solutions.

  • Must have proven ability to write clear and concise technical documentation, summaries of various methodologies, and descriptions of statistical results.

  • Excellent communication, both oral and written in the English language, and interpersonal skills are essential.

Senior Level

  • Master’s degree in statistics, biostatistics, epidemiology, computer science, information, or related field.

  • 3-5 years of experience using Stata or SAS in data management, statistical analysis, and computer programming.

  • Direct experience in managing and supporting major research projects using large survey or administrative datasets and longitudinal data analysis.

Intermediate Level

  • Master’s degree in statistics, biostatistics, epidemiology, computer science, information, or related field.

  • 1-3 years of experience using Stata or SAS in data management, statistical analysis, and computer programming.


Desired Qualifications*

  • Two or more years of experience in statistical analysis and database management.

  • Experience with longitudinal data analysis.

  • Ability to quickly learn and analyze new datasets.

  • Training or experience in quasi-experimental or econometric methods, such as difference-in-differences analysis or time series analysis.

  • Experience in managing and supporting major research projects using large administrative datasets, such as Medicare and Medicaid claims.

Underfill Statement

This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.

Background Screening

Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Application Deadline

Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO/AA Statement

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