LEO Intermittent Lecturer - Epid 708 SSE

University Of Michigan; Ann Arbor (MI); Remote; USD 60,000 - 80,000; Full time

Job summary

The University of Michigan is seeking an experienced instructor for the course Epid 708 - Machine Learning for Epidemiologic Analysis. This remote position requires a PhD in Epidemiology or Public Health and expertise in machine learning methods. The course will take place during the Summer 2025 session, focusing on causal inference and prediction techniques.

Benefits

University-sponsored health care

Retirement savings plans

Paid time off

Professional development funding

Qualifications

• Expertise in machine learning methods applied to Epidemiology.
• Previous experience providing instruction on causal inference techniques.

Responsibilities

• Teach Machine Learning for Epidemiologic, EPID 708 in Summer term, 2025.
• Course duration is from July 7-11, 2025, taught remotely.

Skills

Machine Learning

Causal Inference

Epidemiology

Education

PhD in Epidemiology

PhD in Public Health

Job description

LEO Intermittent Lecturer - Epid 708 SSE

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.

Course Description

Epid 708 - Machine Learning for Epidemiologic Analysis in the Era of Big Data

The course focuses on advances in machine learning and its application to causal inference and prediction via Targeted Learning, which allows the use of machine learning algorithms for prediction and estimating so-called causal parameters, such as average treatment effects, optimal treatment regimes, etc. We will discuss implementation via cloud computing.

Responsibilities*

We are looking for an experienced instructor to teach Machine Learning for Epidemiologic, EPID 708 in Summer term, 2025. The position will be for 1 credit or 100% effort for the duration of the course. This course is offered in the 2025 Summer Session in Epidemiology program from July 7-11, 2025 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 machine learning methods applied to Epidemiology. Previous experience providing instruction on causal inference techniques and their applications to healthcare to graduate-level students.

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 early June 2025.

U-M EEO Statement

The University of Michigan is an equal employment opportunity employer.

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