Post Doc Res Assoc

Priority Review Date (Note - Posting may close at any time)

The Department of Family & Consumer Studies at the University of Utah invites applications for a full-time Research Associate to support the completion of a large-scale evaluation of Utah’s Reemployment Services and Eligibility Assessment ( RESEA ) program. This is a full-time, grant-funded position with an anticipated duration of 12–18 months, with a flexible start date beginning as early as September 2026.

The successful candidate will join an interdisciplinary evaluation team and play a leading role in completing the final stages of the RESEA impact evaluation. The position is particularly well suited for individuals with strong quantitative research skills and prior experience in program evaluation.

Please direct any questions about this position to David Curtis, Lead Evaluator, at david.curtish.edu
, or Su Shin, Co-Evaluator, at su.shinh.edu
.

* Candidates must already be authorized to work in the United States as visa sponsorship is not available for this position.

The Research Associate will work closely with the principal investigators and will be responsible for:

• Conducting statistical analyses using large administrative datasets
• Preparing analytic datasets and documenting data management procedures
• Developing statistical code and producing tables, figures, and technical appendices
• Contributing substantially to the preparation of the RESEA Final Evaluation Report, including drafting technical sections and revising report chapters
• Collaborating with investigators to ensure timely completion of project milestones
• Participating in project meetings and communicating progress to the research team

Although opportunities for scholarly publications may arise, the primary responsibility of this position is the completion of high-quality evaluation reports.

• Ph.D. in Economics, Public Policy, Sociology, Political Science, Statistics, Evaluation, or another closely related social science discipline
• Strong quantitative data analysis skills
• Experience analyzing large administrative or longitudinal datasets
• Proficiency in statistical software such as Stata, R, or SAS
• Excellent written communication skills, particularly technical writing
• Ability to manage multiple tasks independently while working collaboratively within a research team

Preference will be given to applicants with experience in one or more of the following areas:

• Program evaluation
• Impact evaluation or randomized controlled trials
• Labor economics or workforce development programs
• Analysis of government administrative records
• Preparation of technical reports for government agencies or research sponsors

The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at  for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions.

Please contact Utah Retirement Systems at  or  or University Human Resource Management at  if you have questions regarding the post-retirement rules.

This position may require the successful completion of a criminal background check and/or drug screen.

The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.

Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.

Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or…