Job description:

The Michigan Institute for Data and AI in Society (MIDAS) is seeking two Student Training Assistants (temporary, hourly position) for our Data- and AI-Intensive Research with Rigor and Reproducibility program. This is a nationwide training program to strengthen research skills for biomedical researchers (faculty and staff scientists as well as advanced graduate students and postdocs). The students will work under the supervision of Jing Liu (MIDAS Executive Director) and Kelly Psilidis (MIDAS Faculty Training Program Manager), to support the faculty instructors in the training program.

Responsibilities:

Assist faculty instructors during the development of instructional materials, including developing lab sessions and projects, assembling instructional materials for multiple components into an entire unit; and developing and grading homework assignments.

Familiarize themselves with instructional materials in all units.

Provide support for lab sessions, office hours, and projects before, during and possibly after for two training bootcamps with potential travel to Jackson State University in Jackson, Mississippi (May 17 - 22, 2027) and to the University of Texas San Antonio (June 14 - 19, 2027).

Other duties as assigned.

Note: This position requires working up to 40 hours per week during targeted weeks of the summer. We welcome candidates with flexible schedules who are not enrolled in any summer classes. 

Hybrid: This position offers a flexible, partially remote work arrangement with occasional in-person collaboration at Weiser Hall (500 Church St. Ann Arbor, MI 48109). Training sessions will be held in person.                                                                                                                     

Graduate students especially Ph.D. students with a background in biomedical, data science, computer science and / or statistics;

Prior experience related to biological, biomedical or healthcare research;

Strong computer science skills, including experience with R, Python, Github, Docker, and other common platforms;

Research and / or teaching assistance experience highly desired;

Great organizational skills, attention to details, and strong work ethic;

Good communication skills (oral and written);  

Being able to work independently when given clear instructions.