Job Posting for Data Analyst
The Department of Family Medicine is seeking a Data Analyst to work on a National Health Institute (NIH) funded project using structured and unstructured electronic medical records (EMR) to develop and validate a predictive model of hospital readmission among people diagnosed with Alzheimer’s disease and related dementia.. The candidate will be a member of the Data Hub group at the Department of Family Medicine and will report to Dr. Elham Mahmoudi (PI) and Dr. Ananda Sen (Director of the Data Hub). Depending on candidate’s availability, this position can be a part- or full-time position. Graduate students are encouraged to apply.
- Work with structured EMR data to define appropriate data features
- Identify programmatic or data issues and build solutions
- Work with unstructured electronic medical records (nurses’, physicians’, and social workers’ notes) to develop and validate a few key features (social determinants of health and caregiver availability) that are not readily available via structured EMR
- Perform a wide range of analysis including machine learning algorithms
- Develop, refine, and validate research and data collection strategies to develop and compare various predictive models of hospital readmission
- Bachelor’s degree in biostatistics/bioinformatics/epidemiology or a relevant field with coursework in statistical analysis, machine learning (or signal processing) and experience using R, Python, SAS, or similar programming languages (Natural Language Process is preferred but not required).
- Extensive experience working with R, Python, SAS, or similar programming languages may be considered in lieu of a degree.
- Solid foundation in applied biostatistics, including regression modeling and machine learning (experience or related coursework at the BA or MA level)
- Demonstrated aptitude for learning new statistical and/or data management software.
- Excellent interpersonal skills. Proven ability to work collaboratively with a team and meet deadlines.
This job posting is for a University of Michigan Temporary position. Temporary employment may be full or part time, but in either case is limited in duration. Please review the full posting description for details.
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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.