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.
Responsibilities*
We are looking for an experienced instructor to teach Machine Learning for Epidemiologic, EPID 745 in Summer term, 2026. The position will be for 1 credit or 100% effort for the duration of the course. This course is offered in the 2026 Summer Session in Epidemiology program from July 20-24, 2026 from 1:30 PM - 5:00 PM. The course will be taught remotely.
Required Qualifications*
PhD in Epidemiology, Public Health, or related field. Expertise in data visualization methods applied to Epidemiology. Previous experience providing instruction on data visualization techniques and their applications to epidemiologic data to graduate-level students.
Course Description
Epid 745 - Epidemiologic Data Visualization
This course introduces students to the foundational principles and practical skills of data visualization, with a focus on both exploratory data analysis and enhancing the clarity and impact of statistical communication. The course emphasizes visualization as a critical tool for statistical reasoning, model interpretation, and scientific communication. Students will learn to design and evaluate visualizations that are accurate, clear, and audience-appropriate. Topics include using visualization for exploratory data analysis, common pitfalls in data presentation, best practices for visual storytelling, and the role of graphics in conveying complex analytical insights. Hands-on exercises will focus primarily on R, using ggplot2 and the tidyverse, with supplementary coverage of Python, Stata, and tools for interactive dashboards.
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
Michigan Public Health is seeking a dynamic staff member with a commitment to contributing to a welcoming environment for all members of our community.
Union Affiliation
Approximately 1,650 full and part-time university lecturers are represented by the Lecturers' Employee Organization, AFT Local 6244. These non-tenure-track instructional-staff play an important role advancing the university's education mission, teaching a wide range of courses on all three university campuses. Lecturers covered by this contract are eligible for the University's comprehensive benefits package for faculty and staff, including university-sponsored health care and retirement savings plans, paid time off, professional development funding and other benefits.
Application Deadline
Job openings are posted for a minimum of ten calendar days. The review and selection process may begin as early as the eleventh day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended. Decisions are expected to be made in mid-June 2026.
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.