Department
Harris School Pre-Docs, Temps and Non-Student Research Assistants
About the Department
Job Summary
The successful candidate will have experience in applying a variety of statistical modeling and data analysis techniques to datasets in real-world settings. From project inception to completion, the research assistant will contribute to all facets of data collection and cleaning, model development, and implementation.
Responsibilities
Builds statistical models for a variety of research projects.Implements empirical econometric strategies and analytical approaches to solving specific research questions.Conducts literature reviews. Assists with preparation of reports, manuscripts, presentations, and other documents.Works in collaboration with members of the research team and policy partners.Maintains technical and administrative support for research projects.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:
Certifications:
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Preferred Qualifications
Experience:
Demonstrated experience working with statistical programming languages (e.g., R and/or Stata).
Technical Skills or Knowledge:
Experience in data analysis.
Strong quantitative skills.
Ability to manage multiple projects simultaneously and meet tight deadlines.
Preferred Competencies
Prior research assistantship(s) in economics, public policy, or related quantitative social science fields.
Advanced training in econometrics, including causal inference methods.
Experience implementing quasi-experimental research designs (e.g., difference-in-differences, propensity score matching, regression discontinuity).
Excellent organizational skills and attention to detail.
Ability to work both independently and as a team member.
Ability to work carefully with sensitive and confidential data.
Ability to work with large, complex, and/or administrative datasets.
Working Conditions
Predoctoral Fellow will be based out of Chicago, IL.
Application Documents
Resume (required)
Reference Contact Information (2) (required)
Unofficial Transcript (required)
Cover Letter (required) - Breifly address the folowing questions:
What relevant coursework or training have you completed in
econometrics or quantitative methods? Which statistical programming languages
are you proficient in (e.g., R, Stata, Python), and how have you used them in past re
search or work? Briefly describe a past research experience (e.g., research assistant
ship, academic project, or internship) where you worked with data. What role did you
play? What interests you about this position, in particular? Have you worked with
large-scale, complex, or administrative datasets? If so, please describe briefly.
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Pay Rate Type
FLSA Status
Pay Range
The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
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.
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.
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, the proximity in time of the conviction, and its relevance to the position.
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