Job Summary
Under general direction of faculty and senior research personnel, this individual will be responsible for planning, conducting, and directing the data retrieval specifications and analysis plan for several research and improvement projects focused on the equitable care of children. They will perform complex data analyses and programming tasks requiring advanced techniques, as well as supervise/direct the activities of a team of 3-5 electronic medical record data extractors/analysts.
Responsibilities*
- Act as project leader for the data team, providing supervision, technical advice and consultation on complex data extraction, analysis and programming projects
- Provide analytical direction and support in the conceptualization, development and implementation of complex data analysis plans for multiple pediatric equity projects
- Gather, analyze, and interpret a wide variety of data, including administrative claims and electronic medical record data, according to established statistical methods
- Perform descriptive and advanced statistical analyses, conduct ad hoc analysis, review and approve output from other data team members
- Prepare reports, charts, tables, dashboards and other data visual aids for presentation to internal and external partners.
Required Qualifications*
- Bachelor's degree in data science, computer science, biostatistics or related field or equivalent experience
- 10+ years of increasingly complex programming experience
- Expertise in statistical programming; data visualization; statistical consulting and study design; and the application of advanced statistical methods, including mixed effects modeling, nonparametric regression modeling, statistical tools to support improvement work and survival data analysis
- Expertise in working with administrative claims and electronic medical record data
- Willingness to work onsite 3-4 days per week
- Highly organized, attentive to detail, reliable and self-directed. Excellent interpersonal skills and verbal/written communication skills
- Ability to work both independently and within a team on multiple projects in a fast-paced, deadline-driven environment
Desired Qualifications*
- Master's degree in data science, computer science, biostatistics or related field
- Clarity Training/Certification
- 10 years of experience in public health and/or health services research
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
A cover letter is required for consideration for this position and should be attached as page one 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. This position is currently funded for one year with additional years of funding anticipated.
Under FLSA, this is the exempt job classification for this title. Incumbents in this position must meet the full criteria for exempt status: salary level, salary basis, and duties tests.
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.
Application Deadline
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.