Dr. Thuy Le is seeking a part-time Research Associate I to support a project applying predictive and causal machine learning methods to large-scale longitudinal survey data, including the Population Assessment of Tobacco and Health Study, also known as the PATH Study. The project focuses on tobacco/nicotine use, health outcomes, and behavioral risk factors using nationally representative survey data.

The position is expected to require approximately 15 hours per week ($25 per hour). The anticipated start date is August 1, 2026, and the anticipated end date is April 30, 2027, contingent upon continued funding availability.

Responsibilities may include data cleaning, variable construction, exploratory data analysis, machine learning model development, model evaluation, data visualization, and documentation of reproducible analysis workflows.

Applicants should have experience with R and an interest in public health, epidemiology, tobacco/nicotine research, machine learning, causal inference, or longitudinal data analysis.

Work may be conducted remotely, in person, or in a hybrid format. The Research Associate I will have the opportunity to be a co-author on publications resulting from their work.

To apply, please send a CV and a cover letter describing your relevant experience to thuyttle@umich.edu  with the subject line: Part-Time Research Associate I Application - ML Project

Applications will be reviewed on a rolling basis.