Job Description

Responsibilities*
Write and edit programs to clean, manage, merge, maintain, and analyze data, including large data sets (millions of observations)
Extract, transform, and merge raw data from various data sources into usable forms, and construct datasets according to the specifications provided
Design, create and implement programs and templates to collect, display and analyze data
Perform statistical programming utilizing a variety of statistical software packages to summarize data and create reports and/or visual presentations
Conduct advanced statistical analysis, with support and supervision, such as multilevel regression modeling, survival analysis, and causal inference methods including difference-in-differences, instrumental variables analysis, interrupted time series, and regression discontinuity designs
Design and prepare standard and ad hoc reports
Design and prepare summaries for statistical analysis and planning purposes
Document procedures for future reference and make recommendations for data analysis process improvements
Present analytic methods and new approaches to accomplishing goals internally and externally
Required Qualifications*
Bachelor's degree in a recognized field of science or learning which is directly related to the duties of the position
Minimum 5 years of experience analyzing and interpreting process data, clinical outcomes, and costs of care
Demonstrated proficiency working with large administrative datasets using statistical software programs (STATA, SAS, R), data visualization, statistical models, and significance testing
Strong organization skills and attention to detail with the ability to manage competing demands and prioritize to meet deadlines
Ability to work independently as well as cooperatively
Demonstrated ability to manage multiple projects at the same time
Professional, team-driven attitude, and proven ability to take initiative
Desired Qualifications*
Masters degree in relevant field
Experience working with large insurance claims datasets, such as Medicare, MarketScan, Healthcare Cost & Utilization Project, or other claims data sources required
Experience working with multi-payer claims data preferred
Working knowledge of hospital pay-for-performance / payer incentive reimbursement programs preferred
Knowledge or experience working with the BCBSM Collaborative Quality Initiatives preferred
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Additional Information
This is a 3-year term-limited position.

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.