Role Description
Research Assistants (RAs) are integral to the success of randomized evaluations. Working closely with Professor Anant Nyshadham and collaborating economists and researchers across other universities, the RA will support all stages of the research process across two U.S.-based projects:
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AI-assisted job search and matching:
Research on using algorithmic matching to connect low-income jobseekers to local vacancies β widening the scope of job search across sectors and improving matching to jobs in which candidates may have no prior experience.
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Cash incentives and continuity of care:
Research investigating the effects of small cash incentives on continuity of care among the unsheltered population in the Los Angeles region.
This position is well-suited for candidates looking to develop empirical research skills in preparation for PhD programs in economics.
Qualifications
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Bachelor's or Master's degree in Economics, Statistics, Public Policy, Development Studies, or a related field
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Proficiency in data analysis and statistical software such as Stata or R
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Experience conducting fieldwork, including designing, scoping, and fielding surveys
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Proficiency in Microsoft Word and Excel/spreadsheet applications
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Strong familiarity with data science principles and AI coding platforms (e.g., Claude Code, Codex/GPT), among others
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Strong organizational and self-management skills, with the ability to manage multiple projects independently and meet deadlines
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Detail-oriented with strong written and oral communication skills
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Experience with digital data collection platforms such as SurveyCTO is preferred but not required
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Willingness to travel occasionally to project sites
Requirements
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A dynamic environment with competing priorities
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Working in a team with shared responsibilities
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Independently coordinating with coworkers to accomplish goals
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Being resourceful in new environments and scenarios
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Problem-solving in high-pressure environments
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Adapting your approach, being focused on the problem and not being stuck to one idea or way of solving a problem
Benefits
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Remote work (U.S.)
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Remuneration: $20-$22/hour, full-time, 6β12 month contract
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Application Deadline: 3 weeks from the date of posting
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Start Date: Immediate or as soon as possible
How to apply?
Share the following documents with your application form:
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Curriculum vitae
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A cover letter describing your background, interest in economics research, familiarity with relevant statistical software, and any experience as a research assistant or on independent projects. Please include the names and email addresses of two references.
The screening process takes approximately 4β6 weeks from the application deadline and includes the following stages:
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CV screening
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Data test
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First-round interview
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Second-round interview
Depending on the candidate pool, we may add any additional interviews to make a well thought through decision.