Research Assistant (Economics)

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 escalate 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

• How to apply?
• Share the following documents with your application form:

Curriculum vitae

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.

Please include the names and email addresses of two references in your cover letter.

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.