Quantitative Evaluation Scientist

University of Utah

Salt Lake City, Northern (UT, KY)

Hybrid

USD 70,000 - 100,000

Full time

14 days+
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Job summary

The University of Utah invites applications for a full-time Research Associate to support a large-scale evaluation of Utah’s RESEA program. The role emphasizes statistical analyses, dataset preparation, and contributing to the Final Evaluation Report.

A strong background in quantitative methods and program evaluation is essential, with the ability to work both independently and within a collaborative team. This grant-funded position has an anticipated duration of 12–18 months with a flexible

Qualifications

  • Ph.D. or doctoral degree in a social science field or closely related discipline.
  • Strong quantitative data analysis skills.
  • Experience analyzing large administrative or longitudinal datasets.
  • Proficiency in statistical software such as Stata, R, or SAS.

Responsibilities

  • Conduct statistical analyses using large administrative datasets.
  • Prepare analytic datasets and document data management procedures.
  • Develop statistical code and produce tables, figures, and technical appendices.
  • Contribute to the preparation of the RESEA Final Evaluation Report, drafting technical sections and revising chapters.
  • Collaborate with investigators to ensure timely completion of project milestones.
  • Participate in project meetings and communicate progress to the research team.

Skills

Quantitative analysis
Large datasets
Technical writing
Independent & collaborative work

Education

Ph.D. in Economics / Public Policy / Sociology / Political Science / Statistics / Evaluation

Tools

Stata
R
SAS

Job description

The University of Utah invites applications for a full-time Research Associate to support a large-scale evaluation of Utah’s RESEA program. The role emphasizes statistical analyses, dataset preparation, and contributing to the Final Evaluation Report.

A strong background in quantitative methods and program evaluation is essential, with the ability to work both independently and within a collaborative team. This grant-funded position has an anticipated duration of 12–18 months with a flexible

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