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The IHPI Health Data Science Fellowship Program is designed to provide hands-on opportunities to early-career data scientists with a focus on important health services and health policy questions. This program is ideal for individuals who desire a structured learning experience focused on positively impacting healthcare through data analysis.
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Program Highlights
Work closely with, and learn from, research and analytic leaders in a top-tier academic institution while applying skills learned in school to real-world scenarios.
Meet regularly with preceptors, including senior staff analysts and faculty, and other colleagues with advanced expertise in data analytics and research. Faculty project mentors will also provide guidance and learning opportunities as fellows work through well-defined research projects.
Take on one to three projects during the year. These projects may result in publication as a lead or co-author in peer-reviewed medical or methods journals, conference presentations, and/or policy briefs.
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The cornerstone of the IHPI Health Data Science Fellowship is the opportunity to immediately participate in impactful research and directly help solve important healthcare questions through the application of data science.
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Early meetings focus on building foundational knowledge of health services research and the various datasets (electronic health record, administrative claims, etc.) often used for analysis, along with discussion of career goals and interests and project objectives. A structured curriculum with key learning objectives and deliverables will be taught while the fellow learns and applies these approaches for impactful research questions. Further guidance related to the research process, data management, analytic design, and communication of findings will also be provided. These conversations will provide a roadmap for your professional development and ensure an optimal learning experience.
The fellowship emphasizes high-impact project work that is designed to support continuous learning and technical growth. Upon successful completion of the one-year program, fellows are encouraged to continue their careers in data science here at the University of Michigan. Extensions beyond the initial one-year fellow period can also be arranged on an as-needed basis.
The diverse team of mentors and project leads make it a priority to ensure that talented individuals are provided with opportunities to attain employment beyond the fellowship experience.
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Position Requirements
As an employer, Michigan Medicine welcomes diverse and highly motivated applicants from a variety of graduate programs. Qualified fellowship applicants will have at least a master's degree or equivalent course work in biostatistics, statistics, economics, data science, information, or a related degree from an accredited program. While candidates with previous professional work experience are encouraged to apply, previous work experience is not a prerequisite for the fellowship.
Application Materials
Resume with Career Goals and Objectives
In addition to your current resume, include a one-page statement that specifies:
- why you want to be an IHPI Health Data Science Fellow at Michigan Medicine
- how you think the program will develop you personally and professionally to pursue your short and long-term goals, and
- how your previous experience (academic and/or professional) has influenced your envisioned contribution to the Fellowship program.
Submit Your Materials
All application materials should be emailed directly to ihpi-dmh-fellow@umich.edu.
Finalist Interviews
Finalists will be interviewed and references will be requested. The interview process also includes a basic technical skills exercise to assess your current level of expertise and help us tailor the program to your learning needs.
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Fellowship Contacts
