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.
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? 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 is founding a new Center for Surgical Training and Research (CSTAR) 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 CSTAR 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 a startup (innovation in a small team) with the best aspects of working in a university setting (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 and analyzing multiple large data sets. Your strong data management 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.
Position will be filled based on qualifications and experience of applicant
- Intermediate: 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 1-3 yrs experience.
- 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.
Applicants must have the above indicated experience in the following:
- experience cleaning, managing, merging, and analyzing data in R
- Ability to use statistical methods to solve analytic problems using descriptive statistics, linear regression, logistic regression, and multi-level modeling.
- A passion for creating easily interpreted visualizations for study reports, presentations, and manuscripts
- 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 linkages between data sources
- Additional expertise in survival analysis, mixed models with repeated measures, conjoint analysis, multi-criteria decision analysis and/or structural equation modeling
- Ability to independently develop instruments and related analytic plans
- Some experience with SAS and/or STATA (in addition to R) is strongly preferred
- An understanding of medical procedure codes
- Strong programming knowledge using a high-level programming language
This position may be underfilled at a lower classification and compensation depending on the qualifications and experience of the selected candidate.
Statistician Lead Job code 100928.
Statistician Senior Job code 100927.
Statistician Intermediate Job code 100926.
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.
Job openings are posted for a minimum of seven calendar days. This job 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.