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Graduate Student Instructor

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University of Michigan

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Location:
United States , Ann Arbor

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Category:
Education

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

The Quantitative Methods in the Social Science (QMSS) program aims to train undergraduate students in the theories and methods needed to be successful data literate social scientists. QMSS 201 - Introduction to Quantitative Methods in the Social Sciences includes training in descriptive statistics, data collection, data management, and data cleaning. It provides an overview of research design and hands-on experience with using data to ask and answer research questions from various social science disciplines.

Job Responsibility:

  • Attend course lectures (3 hours/week)
  • Teach 3 x 1-hour lab sections each week
  • Dedicate at least 2 hours per week of office hours and/or individual meeting times
  • Attend weekly QMSS Community Hours events (19.5 hours total)
  • Participate in weekly teaching team meetings
  • Assist with software/tools/datasets
  • Co-create problem sets and other assignments
  • Grade and provide constructive feedback on assignments and projects
  • Participate in QMSS program activities

Requirements:

  • Graduate student in good standing in their degree program
  • Registered for not less than six (6) credit hours (five (5) with advisor approval)
  • Proficiency with analytic tools (Excel, Tableau, Stata, R, Python, etc.)
  • Experience with social sciences research, coursework, and/or perspectives as they pertain to data analysis, interpretation, and communication

Nice to have:

  • LSA doctoral students within their funding package
  • Mastery of quantitative methods in the social sciences
  • Graduate degree in a quantitative methods- or social sciences-related field
  • Real-world job/internship, teaching, and/or research experience
  • Strong commitment to serving as a resource for undergraduate students
  • Ability to make quantitative methods accessible to students of all levels

Additional Information:

Job Posted:
March 25, 2026

Expiration:
April 06, 2026

Employment Type:
Parttime
Work Type:
Hybrid work
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