StatLab Graduate Associate (Student Wage)

University of Virginia•Charlottesville, VA

About The Position

The UVA Library StatLab is seeking a Graduate Student Associate for the spring 2027 academic semester and beyond. The Associate will work with the Library’s full-time statisticians to provide statistical consulting and support to UVA students and faculty across disciplines, write online instructional articles, and contribute to data analysis projects for the Library or in collaboration with other organizations as projects arise. Associates help students and faculty develop research designs, select appropriate statistical analyses, interpret results, perform data wrangling, and implement models in supported software environments. They also contribute to StatLab articles and tutorials about statistical methods, programming, data visualization, and related topics. Associates may support Library data analysis, create open-source materials, and collaborate on projects with other groups. The position pays $24 per hour for up to 10 hours per week for 15 weeks each semester, with the possibility of project-based work over the summer.

Requirements

  • Graduate student standing.
  • At least one year of statistical coursework.
  • Willingness to learn additional statistical methods.
  • Proficiency in R.
  • Willingness to learn other programs and languages such as Stata, SPSS, or Python.
  • Strong oral and written communication skills.

Responsibilities

  • Provide statistical consulting and support to UVA students and faculty across disciplines.
  • Help students and faculty develop research designs, identify appropriate statistical analyses, interpret results, carry out data wrangling, and implement models in supported software environments.
  • Contribute online instructional articles and tutorials about statistical methods, statistical programming, data visualization, and related topics.
  • Contribute to Library data analysis projects, prepare open-source materials, and collaborate on projects with other organizations as they arise.
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