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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

Do you want to work with a group of purpose-driven and highly collaborative researchers on challenging, innovative research? Do you have cutting-edge analytic skills and love working with big data and creating advanced analytic models? Do you want to make a real difference in the lives of millions of patients, both in the United States and around the world? 


The University of Michigan’s Department of Surgery’s Center for Surgical Training and Research (C-STAR) dedicated to educational quality improvement in surgery, a concept that sits at the intersection of surgical education research, quality improvement, and big data outcomes research.  One of the primary goals of C-STAR is to better understand the relationship between surgical training, surgeon performance, and patient outcomes. The results of that work will permit us to empirically define new standards of surgical performance that will be used to shape surgical education policy for generations to come.


This position combines the best aspects of innovation in a small team while working with world-class resources and collaboration.  We are a part of the University of Michigan's Institute for Healthcare Policy and Innovation (IHPI) and you will work closely with our collaborators at the Center for Healthcare Outcomes and Policy (CHOP), the American Board of Surgery (ABS), the Accreditation Council for Graduate Medical Education (ACGME), and the Procedural Learning and Safety Collaborative (PLSC). These collaborations have allowed us to translate our basic research into large-scale observational and interventional studies and effectively disseminate those results to both practitioners and policymakers.  


In addition to standard University of Michigan benefits, we are family-friendly and have a staff that enriches the workplace with their diverse skills and experience. 


You will be appointed as a full-time statistical analyst who is responsible for managing, interpreting, and analyzing multiple large data sets. Your strong writing and analytic skills, passion for creating easily interpreted visualizations, and drive to mentor others will make you a key member of our team. You will also actively participate in our multiple collaborations that span departments, institutions, and disciplines. You will be empowered to work independently and should be capable of managing yourself while also identifying when you need additional resources. This position will provide ample opportunities to learn and grow professionally.

Required Qualifications*

Statistician Senior requires 3-5 years of experience.  Statistician Intermediate requires 1-3 years of experience.

·         Degree in Statistics, Biostatistics, Psychology, Information, Public Health, Computer Science, Engineering or related analytic field

·         Has experience analyzing data in R and RStudio

·         Wants to write proposals and manuscripts

·         Ability to use statistical methods to solve analytic problems using descriptive statistics and advanced statistical models

·         A passion for creating easily interpreted visualizations for study reports, presentations, and manuscripts 

Desired Qualifications*

(NOT required, the above requirements are much more important)

  • Masters or Doctorate degree
  • Working knowledge of epidemiologic concepts and methodology 
  • Experience in supporting, managing and analyzing major research projects using large administrative data sets such as Medicare, Medicaid, and commercial insurance claims
  • Experience with database management and complex data structures and data linkages
  • Additional expertise in mixed models, factor analysis,  structural equation models and/or growth curve models
  • Ability to independently develop instruments and related analytic plans 
  • Some experience with SAS, STATA and/or SQL (in addition to R) is valued
  • An understanding of medical procedure codes 
  • Strong programming knowledge using a high-level programming language
  • Experience with GitHub or other similar tools

Underfill Statement

This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.  Compensation will also be determined based on candidate qualifications and experience.  


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.