Research Analyst
Listed on 2026-02-14
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Research/Development
Research Analyst, Research Assistant/Associate, Research Scientist, Market Research
Department: Kellogg GPRL
Salary/Grade: EXS/5
Job SummaryThe Global Poverty Research Lab (GPRL) at Northwestern University is hiring several full‑time Research Analysts for a two‑year term appointment based in Evanston, Illinois (Chicago area). Research Analysts will support a diverse portfolio of applied research projects, including panel survey data collection and analysis, research methods studies, randomized controlled trials, and meta‑analyses in areas such as mental health and social protection.
Research Analysts gain hands‑on experience managing and analyzing data from multiple sources, contributing to research design discussions, and supporting project management across collaborative research teams. Research Analysts work in an open, collaborative lab environment at Northwestern University and regularly interact with economics faculty, graduate students, and undergraduates from the Kellogg School of Management and the Department of Economics, as well as research staff at Innovations for Poverty Action (IPA).
SpecificResponsibilities
- Manage, clean, and analyze data from surveys, administrative sources, and experiments
- Support the design and implementation of randomized controlled trials and methodological studies
- Contribute to meta-analyses and evidence synthesis projects
- Assist with project management, documentation, and coordination with external partners
- Participate in research meetings and collaborate with faculty, students, and research staff
The Global Poverty Research Lab (GPRL) is a research center based at Northwestern University that accelerates poverty reduction by generating frontier research and creating public goods—such as data, methods, and evidence syntheses—that enable others to design, test, and translate evidence into action. GPRL's work spans four core pillars:
Frontier Research- Conduct cutting‑edge research in development economics, including themes of mental health, agriculture, social protection, and renewable energy; co‑create and maintain long‑run panels with local universities, governments, and civil society that enable longer‑term insights and support layered randomized controlled trials (RCTs).
- Develop and test improved approaches to measurement and learning, including questionnaire design, enumerator recruitment, and rapid‑cycle experiments (e.g., A/B, factorial, and micro‑randomized) that implementers can run using their own administrative data to tune delivery models, incentives, and other protocols.
- Building semi‑automated pipelines and AI‑assisted workflows to compile and structure scattered evidence from RCTs into living knowledge bases and run rigorous meta‑analyses; deliver insights via evidence syntheses, interactive dashboards, and publicly accessible data for donors, investors, and practitioners.
- Turn evidence into ready‑to‑use decision tools, "smart buys" menus, and ROI/cost‑effectiveness frameworks for donors, ministries, multilaterals, impact investors, and social enterprises.
- GPRL is co‑directed by Dean Karlan, Christopher Udry, and Nancy Qian, professors at the Kellogg School of Management and the Weinberg College of Arts and Sciences Department of Economics at Northwestern University. Additional affiliated faculty include Andrew Dillon and Lori Beaman.
- Research analysts, research managers, and administrative staff support GPRL's investigators while collaborating closely with universities, NGOs, and research institutions worldwide. GPRL also works in close partnership with Innovations for Poverty Action (IPA) to coordinate field data collection, disseminate evidence, and develop shared training and research resources.
- To be considered, applicants must both:
- Apply through the Northwestern University Careers Site, and
Complete the supplemental form located here:
(Use the "Apply for this Job" box below)./9
Jve4ySMzJKBueDY9- Cleaning survey or administrative datasets and preparing them for analysis.
- Conducting analysis using advanced statistical and econometric tools and seeking out the resources to learn new analytical techniques as needed.
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