LEO Intermittent Lecturer - Epid SSE
Remote / Online - Candidates ideally in
Ann Arbor, Washtenaw County, Michigan, 48103, USA
Listed on 2026-06-09
Ann Arbor, Washtenaw County, Michigan, 48103, USA
Listing for:
University Of Michigan (The Regents @ Ann Arbor)
Seasonal/Temporary, Remote/Work from Home
position Listed on 2026-06-09
Job specializations:
-
IT/Tech
Job Description & How to Apply Below
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
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