Ohio State University
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Senior Research Associate in Advanced Analytics, Survey Research, and Higher Education Evaluation The Ohio State University in United States
Degree Level
not provided
Field of study
Education
Funding
This is a full-time regular salaried staff position with a target hiring range of $104,000–$110,000. The position includes comprehensive benefits, including medical, dental, and vision coverage, paid sick and vacation leave, holidays, and a state or alternative retirement plan with employer contributions. This is employment compensation rather than student funding.
Country
United States
University
Ohio State University
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About this position
The Ohio State University is hiring a full-time Senior Research Associate in the Office of Institutional Research and Planning in Columbus, Ohio. The role focuses on advanced analytics, predictive modeling, survey research, program evaluation, student success, career outcomes, and data-informed institutional strategy.
The successful candidate will develop statistical and machine-learning models using methods such as regression, multivariate analysis, survival analysis, propensity-score matching, text analytics, and time-series forecasting. Responsibilities also include designing and administering surveys, evaluating academic and student-support interventions, integrating longitudinal institutional and career-outcome datasets, and creating executive dashboards and reports with tools such as R, Python, Tableau, Power BI, SPSS, SAS, and Stata.
Applicants need a master’s degree or Ph.D. in Statistics, Data Analytics, Quantitative Research Methodology, Economics, Higher Education Evaluation, Social Sciences, or a related quantitative field. Relevant experience in higher education assessment, institutional research, data analytics, or survey research is required. The target salary is $104,000–$110,000, with comprehensive university benefits. A cover letter and resume are required.
Funding details
This is a full-time regular salaried staff position with a target hiring range of $104,000–$110,000. The position includes comprehensive benefits, including medical, dental, and vision coverage, paid sick and vacation leave, holidays, and a state or alternative retirement plan with employer contributions. This is employment compensation rather than student funding.
What's required
Master’s degree or Ph.D. in Statistics, Data Analytics, Quantitative Research Methodology, Economics, Higher Education Evaluation, Social Sciences, or a related quantitative field. Master’s applicants require at least five years of relevant professional experience; Ph.D. applicants require at least three years, with postdoctoral and graduate research assistant experience counting toward this requirement. Experience must be in higher education assessment, institutional research, data analytics, or survey research. Candidates must demonstrate advanced quantitative analytics, predictive analytics, statistical modeling or machine learning; proficiency with R, SPSS, SAS, or Stata; survey instrument design and administration such as Qualtrics; higher education program evaluation and impact studies; and strong communication, report-writing, presentation, and data-visualization skills, including Tableau, Power BI, or Python. Preferred qualifications include a Ph.D. or terminal quantitative degree, experience in an R1 university institutional research or assessment office, predictive analytics and ranking-model expertise, career-outcome data integration, and proficiency with R, Python, SQL, SPSS, SAS, or Stata. A cover letter and resume are required. Final candidates must successfully complete a background check; a drug screen or physical may be required.
How to apply
Apply through the Ohio State University Workday careers portal using the direct job link. Submit both a cover letter and resume, and ensure your candidate profile and required documents are complete before submitting. Current Ohio State employees and students should use the internal Workday application process.
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Prepare your application
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ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.