Research Assistants

Research Assistants (part-time)

Current accepting applications for Research Assistant II

Are you a University of Michigan undergraduate or graduate student that would like to work with the Youth Policy Lab?

Fill out this Research Assistant (RA) Interest Form.

While we do not currently have any open RA positions, we encourage you to indicate your interest in working with YPL by filling out our online form. Those who fill out interest forms will be the first to know about any new positions that become available!

Hiring typically takes place at the beginning of semesters, so we encourage you to submit resumes by August 1st for the fall semester, December 1st for the winter semester, and April 1st for the spring/summer semesters.

Please note that hiring for RA positions is restricted to current University of Michigan students.  

What do Youth Policy Lab Research Assistants do?

Working between 5 and 10 hours each week, a research assistant at YPL is assigned a specific project and a YPL Project Manager. RAs participate in team meetings and meet regularly with the project managers to gain important background/context for the work.  This provides the RAs with the support they need to successfully complete their tasks and make meaningful contributions to the projects to which they are assigned. Common project tasks for RAs include:

  • Conduct literature reviews and/or landscape analyses, collect and systematize information gathered from websites
  • Clean and analyze large datasets, code open-ended survey responses
  • Program and/or test surveys in Qualtrics
  • Draft short reports and data visualizations

Desired Qualifications

  • Excellent writing skills
  • Timely, proactive, and clear communication
  • Independence, reliability, and follow-through
  • Attention to detail, thoroughness
  • Technical skills (Note that the desired skills for RAs differ for each position. Please consider filling out the interest form even if you do not have all of the following skills.):
    • ArcGIS
    • Data visualization
    • Excel
    • Literature reviews
    • Python
    • Qualitative analysis/NVivo
    • Qualtrics
    • Stata/R

Have any questions?

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