About Us:
Please note, the selected candidate will be employed by the University of Michigan (Ann Arbor, MI), and the candidate must be legally authorized to work in the United States.
About the role:
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:
AI-assisted job search and matching: Research on using algorithmic matching to connect low-income jobseekers to local vacancies — widening the scope of job search across sectors and improving matching to jobs in which candidates may have no prior experience. This research builds on our prior work on AI-directed job search, which you can read about here.
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.
Location: Remote (U.S.)
Remuneration: $20-$22/hour, full-time, 6–12 month contract
Application Deadline: 3 weeks from the date of posting
Start Date: Immediate or as soon as possible
Roles and Responsibilities:
Support study design through scoping exercises, qualitative surveys, and literature reviews
Design and pilot survey instruments; monitor data quality and resolve issues promptly
Expand the set of simulated task assessments for various occupations, by referencing the repository of simulated tasks from the prior trial, as part of the AI-assisted job matching project. These are online exercises through which candidates demonstrate occupation-specific skills, used as part of the study's evaluation approach.
Conduct fieldwork and travel to project sites occasionally
Liaise with implementation partners to align timelines, share updates, and troubleshoot challenges
Coordinate with administrative and finance teams on participant payments and study-related costs
Identify threats to research design, propose solutions, and escalation to researchers as needed
Ensure adherence to research and data protocols, including IRB approval, coding standards, and analysis procedures
Maintain comprehensive project documentation — codebooks, field protocols, and project logs — to academic standards of transparency and reproducibility
Prepare policy memos and research briefs on ongoing and completed studies
Who are you?
Bachelor's or Master's degree in Economics, Statistics, Public Policy, Development Studies, or a related field
Proficiency in data analysis and statistical software such as Stata or R
Experience conducting fieldwork, including designing, scoping, and fielding surveys
Proficiency in Microsoft Word and Excel/spreadsheet applications
Strong familiarity with data science principles and AI coding platforms (e.g., Claude Code, Codex/GPT), among others.
Strong organizational and self-management skills, with the ability to manage multiple projects independently and meet deadlines
Detail-oriented with strong written and oral communication skills
Experience with digital data collection platforms such as SurveyCTO is preferred but not required
Willingness to travel occasionally to project sites
Additional Requirements: What should you be comfortable with?
A dynamic environment with competing priorities
Working in a team with shared responsibilities
Independently coordinating with coworkers to accomplish goals
Being resourceful in new environments and scenarios
Problem-solving in high-pressure environments
Adapting your approach, being focused on the problem and not being stuck to one idea or way of solving a problem
The process:
We are glad you’re interested in applying for this role!
After each step, we decide whether to invite you to the next one. The screening process takes approximately 4–6 weeks from the application deadline and includes the following stages:
CV screening
Data test
First-round interview
Second-round interview
Depending on the candidate pool, we may add any additional interviews to make a well thought through decision.
