Predoctoral Scholar

Overview

Predoctoral Scholar role at University of Chicago (Harris School Pre-Docs, Temps and Non-Student Research Assistants). The position supports Professor Anjali Adukia on large-scale social policy research projects designed to improve educational outcomes, focusing on education and restorative justice in schools. The analyst contributes to data collection, cleaning, model development, and implementation across a portfolio of projects.

• Build statistical models for a variety of research projects.
• Implement empirical econometric strategies and analytical approaches to answer specific research questions.
• Conduct literature reviews and assist with preparation of reports, manuscripts, presentations, and other documents.
• Collaborate with members of the research team and policy partners.
• Maintain technical and administrative support for research projects.
• Analyze and maintain data and/or specimens; assist with preparation of reports, manuscripts, and other documents.
• Perform other related work as needed.

Minimum Qualifications

• A college or university degree in a related field.

Work Experience

• Knowledge and skills developed through less than 2 years of related work experience.

Preferred Qualifications

• Demonstrated experience with statistical programming languages (e.g., R and/or Stata).
• Experience in data analysis and strong quantitative skills.
• Ability to manage multiple projects and meet deadlines.
• Prior research assistantship(s) in economics, public policy, or related quantitative social sciences; advanced training in econometrics and causal inference methods.
• Experience implementing quasi-experimental designs (e.g., difference-in-differences, propensity score matching, regression discontinuity).
• Excellent organizational skills, attention to detail, and ability to work independently and as part of a team.
• Ability to work with large, complex, and/or administrative datasets and handle sensitive data carefully.

• Experience in data analysis and statistical programming (e.g., R, Stata).
• Strong quantitative skills; ability to manage multiple projects simultaneously.

Predoctoral Fellow will be based out of Chicago, IL.

• Resume (required)
• Reference Contact Information (2) (required)
• Unofficial Transcript (required)
• Cover Letter (required) - address: relevant coursework or training in econometrics/quantitative methods; proficiency in statistical programming languages; describe past research experience with data; explain interest in this position and experience with large-scale datasets; upload via the My Experience page in the Application Documents section.

• 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 Type:
  
  Salary
• FLSA Status:
  Exempt
• Pay Range: $50,000.00
• Benefits Eligible:
  Yes

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, or expression, national origin, age, disability, military status, genetic information, or other protected classes. For more information, see the University’s Notice of Nondiscrimination. Reasonable accommodations for applicants with disabilities can be requested by calling  or via Applicant Inquiry Form.

All offers are contingent upon a background check.

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