The Michigan Value Collaborative (MVC), housed at the University of Michigan, is seeking a detail-oriented self-starter to join the team in the role of Data Programmer. Strong analytic, organizational, and verbal and written communication skills are critical to this role.
The MVC is a statewide hospital and physician organization consortium, aiming to improve the lives of patients in Michigan through systematic advancements in quality and cost-efficiency in Michigan hospitals.
The Data Programmer gathers and analyzes data from various databases and other sources; cleans and constructs datasets; develops and/or maintains databases; performs statistical programming; and provides technical assistance to the team. The Data Programmer will utilize medical claims datasets, among other sources, from both private and federal payers in order to assess payment variation and identify areas of opportunity for hospitals and providers.
In this position, you will work with a highly collaborative group of clinicians, policy experts, statisticians, economists, health services’ researchers and analysts. This position is an excellent opportunity to gain expertise in data management and a broad range of healthcare reimbursement and payment reform programs. In addition, you will have the opportunity to advance your skills using claims data, including characterizing episodes of care.
Candidates for this position must be driven, with an intellectual curiosity and desire to continue learning, as well as the ability to work on multiple projects at one time. This position allows for significant growth, with the opportunity to develop statistical methodologic skills and to explore innovative healthcare solutions.
- 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 for assigned projects and/or clients
- Perform statistical programming utilizing a variety of statistical software packages to summarize data and create reports and/or visual presentations
- 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
- Contribute to the strategic direction of MVC
- Assist in the implementation of the BCBSM MVC Pay-for-Performance metric
- Clean, check, and import claims data
- Present analytic methods and new approaches to accomplishing goals internally and externally
- Bachelor’s degree and work experience in data management (minimum of 3 years relevant experience required)
- Demonstrated ability to work independently as well as cooperatively
- Demonstrated ability to manage multiple projects at the same time
- Demonstrated proficiency working with large datasets using statistical software programs (SAS preferred, but STATA, SPSS, and R are also acceptable)
- Master’s Degree in relevant field and 3 years of experience in a professional healthcare-related setting
- Previous experience working with administrative claims data
- Working familiarity with basic statistical models and significance testing
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.