Research, Analyst

The University of Chicago; Chicago (IL); On-site; USD 35,000 - 46,000; Full time

Job summary

The University of Chicago in Chicago, IL seeks a Research Analyst to support the Psychology department's computational research efforts. You will validate analyses, curate large datasets, and perform formal analyses using Python and/or R, contributing to manuscripts and presentations under Professor Shigehiro Oishi.

The role is a fixed-term, full-time position with 37.5 scheduled hours per week. Pay range is $25.71–$33.28 per hour; contract dates September 1, 2026–February 28, 2027; requires

Qualifications

• Minimum requirements include a college or university degree in related field.
• Bachelor's degree in computational social science, data science, statistics, computer science, psychology, or related quantitative field is preferred.
• Proficiency in Python and/or R for data analysis and reproducible research.

Responsibilities

• Validation - reproduce and verify analyses for manuscripts; audit datasets and code; document reproducible verification procedures.
• Software - develop, test, and maintain analysis code and reproducible data pipelines in Python and/or R; use high-performance computing workflows.
• Data curation - clean, integrate, document, archive, and transfer large datasets; maintain metadata and version control.
• Formal Analysis - apply statistical, spatial, and NLP methods; interpret and summarize results.
• Methodology - develop data-processing procedures; contribute to study design.
• Investigation - collect data from external sources; literature reviews; document research process.

Education

Bachelor's degree in related field

Bachelor's degree in computational social science, data science, statistics, computer science, psychology, or related quantitative field

Tools

Python

R

Job description

Department: SSD Psychology: Staff and Temporary Employees

About the Department

The Research, Analyst will be working under Professor Oishi, Department of Psychology, Social Sciences Division.

Job Summary

The job performs routine assignments related to scientific research projects. Ensures compliance of research activities with institutional, state, and federal regulatory policies, procedures, directives and mandates. Analyzes possible solutions using standard procedures. Writes articles, reports and manuscripts. Assists in drafting presentations on research findings. We study culture, social ecology, and well-being using large-scale digital-trace, geographic, and survey data. The lab seeks a research analyst to lead the validation and reproducibility of its computational research and to conduct supporting data analysis. This is a research-intensive professional position; administrative duties are minimal. September1,2026– February28,2027, reporting to Professor Shigehiro Oishi.

Responsibilities

• Validation - Reproduce and verify analyses on data for manuscripts; audit datasets and code for accuracy; identify and correct pipeline errors; document reproducible verification procedures.
• Software - Develop, test, and maintain analysis code and reproducible data pipelines in Python and/or R, including high-performance and cluster-computing workflows (e.g., Midway-3).
• Data curation - Clean, integrate, document, archive, and transfer large datasets; maintain metadata, geographic crosswalks, and version control.
• Formal Analysis - Apply statistical, spatial (e.g., nearest-neighbor distance, Moran's I), and text/NLP methods; interpret and summarize results.
• Methodology - Develop and operationalize data-processing and measurement procedures (crosswalks, spatial joins, text scoring); contribute to study design.
• Investigation - .Collect data from external sources, review relevant literature, and document the research process. Coordination of data-collection activities and lab documentation. Maintains technical and administrative support for a research project. Analyzes and maintains data and/or specimens. Conducts literature reviews. Assists with preparation of reports, manuscripts and other documents. Performs other related work as needed.

Minimum Qualifications

• Education: Minimum requirements include a college or university degree in related field.
• Work Experience: Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.

Preferred Qualifications

• Education: Bachelor's degree in computational social science, data science, statistics, computer science, psychology, or a related quantitative field.
• Experience: Research experiences in a quantitative discipline; experience validating computational analyses, working with large-scale or high-performance-computing data, and geospatial or text analysis.
• Technical Knowledge or Skills: Proficiency in Python and/or R for data analysis and reproducible research. Working knowledge of applied statistics and version-control and reproducibility practices.

Working Conditions

September1,2026– February28,2027, reporting to Professor Shigehiro Oishi.

Application Documents

• Resume (required)
• Cover letter (required)
• References (3) (required)

Job Family

Research

Role Impact

Individual Contributor

Scheduled Weekly Hours

37.5

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Pay Rate Type

Hourly

FLSA Status

Non-Exempt

Pay Range

$25.71 - $33.28

Benefits Eligible

Yes

Posting Statement

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Reasonable Accommodation

Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

Background Check

All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, and its relevance to the position.

Security & Fire Safety Report

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