How to Apply

A cover letter is required for consideration for this position and should be attached as the first page 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.

Job Summary

The Department of Learning Health Sciences (DLHS) is a first-in-the nation basic science department that focuses on the sciences that make learning effective, routine, efficient and scalable. Our research programs generate new knowledge that can enhance learning at all levels of scale (organizations, systems and nations in addition to individuals and groups); our educational programs train new researchers and practitioners who apply the sciences of learning; and our service programs help health systems transform into learning health systems and advanced health professions education.

DLHS is seeking a Research Analyst to support health-related data analysis and machine learning research using clinical data. The analyses will be used to inform scientific publications, grants, and the development of open-source predictive modeling tools. The research analyst is expected to contribute to the selection of appropriate modeling methods informed by prior machine learning research and to writing relevant portions of scientific manuscripts and grants describing methods and results.

This a one-year term-limited position with the possibility of an extension.

Responsibilities*

Analyze and interpret collected data.

Analyze and interpret collected data.

Apply interdisciplinary methods to the measurement of outcomes and uses multivariate models to calculate variations in data.

Apply interdisciplinary methods to the measurement of outcomes and uses multivariate models to calculate variations in data.

Create oral and written reports for scientific audiences.

Create oral and written reports for scientific audiences.

Write technical or similar large-scale proposals.

Write technical or similar large-scale proposals.

Participate in project teams to develop and employ methods to estimate and predict outcomes.

Participate in project teams to develop and employ methods to estimate and predict outcomes.

Employees typically analyze, compare and evaluate various courses of action and have the authority to make independent decisions on matters of significance, free from immediate direction, within the scope of their responsibilities.

Employees typically analyze, compare and evaluate various courses of action and have the authority to make independent decisions on matters of significance, free from immediate direction, within the scope of their responsibilities.

Required Qualifications*

Master’s Degree in a recognized field of science.

Master’s Degree in a recognized field of science.

Two to four years of experience is required.

Two to four years of experience is required.

Strong programming background.

Strong programming background.

Experience with R and Python programming languages.

Experience with R and Python programming languages.

Strong machine learning and predictive modeling background, including experience with generalized linear models, random forests, boosted decision trees, and neural networks.

Strong machine learning and predictive modeling background, including experience with generalized linear models, random forests, boosted decision trees, and neural networks.

Required to pass and maintain standard certification for research analysts at the University of Michigan, such as online PEERRS training.

Required to pass and maintain standard certification for research analysts at the University of Michigan, such as online PEERRS training.

Desired Qualifications*

Excellent oral and written communication skills.

Excellent oral and written communication skills.

Strong attention to detail, work ethic and organizational skills.

Strong attention to detail, work ethic and organizational skills.

Excellent interpersonal skills and ability to work as part of a team.

Excellent interpersonal skills and ability to work as part of a team.

Ability to multi-task and prioritize efforts across multiple tasks.

Ability to multi-task and prioritize efforts across multiple tasks.

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.