Do you want to work with a group of purpose-driven and highly collaborative researchers on challenging, innovative, and high impact research? Do you have cutting-edge analytic skills and love working with big data using sophisticated methods? 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) is shaping the future of medical education to ensure that every new surgeon is competent and safe. Our primary focus is on understanding and predicting new surgeon performance, although we also examine many other facets of medical education including the impact of racism and sexism on trainees, the impact of educational policy on patient outcomes, and how to implement change at scale.
This position combines the best aspects of being part of a small, innovative team while having access to world-class resources and collaborations. 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), the Society for Improving Medical Professional Learning (SIMPL), and many others. 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 supportive staff that enriches the workplace with their diverse skills and experience.
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.
Why Join Michigan Medicine?
Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world’s most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.
What Benefits can you Look Forward to?
- Excellent medical, dental and vision coverage effective on your very first day
- 2:1 Match on retirement savings
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 knowing when you need additional resources. Most importantly, this position will provide ample opportunities to learn and grow professionally.
- Masters degree or PhD in Statistics, Biostatistics, Psychology, Information, Public Health, Computer Science, Engineering or related analytic field
- 3+ years of related experience
- Has provided advanced analyses for published manuscripts
- Has experience analyzing data in R and RStudio
- Wants to write proposals and manuscripts
- Able to solve analytic problems using advanced statistical models
- Has a passion for creating easily interpreted visualizations for study reports, presentations, and manuscripts
Senior: Employees in this classification are required to have a minimum of a Bachelor degree in Statistics, Biostatistics, Psychology, Information, Public Health, Computer Science, Engineering or related analytic field with 3-5 yrs experience
Lead: Employees in this classification are required to have a minimum of a Bachelor degree in Statistics, Biostatistics, Psychology, Information, Public Health, Computer Science, Engineering or related analytic field with 5-8 yrs experience
- 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)
- An understanding of medical procedure codes
- Strong programming knowledge using a high-level programming language
- Experience with GitHub or other similar tools
This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.
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.
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.
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.