"Pre-doctoral Research Fellow - Regulation, Evaluation, and Governance Lab (RegLab)"

Post Date: Oct 28, 2025

Requisition #: 107647

Multi-job Posting

The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is hiring full-time pre-doctoral Research Fellows to join our research team. This is a minimum one-year position, with the option of renewal based on performance and funding. This position is a great next step for those considering graduate school, law school, and/or business school in the future. Prior Research Fellows have been accepted by PhD programs in computer science, economics, and political science and JD programs at top schools (e.g., Harvard, Stanford, Princeton, Yale). In recent years, fellows have been coauthors on RegLab publications for PNAS, JAMA Health Forum, Nature Sustainability, the American Economic Journal: Economic Policy, the American Law and Economics Review, the Journal of Law, Economics, and Organization, ACM FAccT, the Journal of Empirical Legal Studies, and the Stanford Law Review.

About Us: Stanford RegLab is an impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector. We are an interdisciplinary team of data scientists, social scientists, engineers, and lawyers who are passionate about building high-impact demonstration projects for the future of governance. Some of our partners include the Environmental Protection Agency (EPA), the Internal Revenue Service (IRS), the Department of Labor (DOL), and various public interest organizations.

As a member of our research team, you will work closely with the Faculty Director, Research Director/Manager, data scientists, and teams of fellows and students to drive forward a diverse research program focused on machine learning and policy evaluation. The following tasks are designed to culminate in co-authorship on research papers:

• Plan and perform research tasks requiring initiative and judgment: conceptualize suitable empirical methodologies and models,
• Collect, manage, and structure quantitative datasets,
• Conduct statistical analyses of complex datasets and interpret results,
• Design and implement state-of-the-art machine learning models, algorithms, and statistical models,
• Participate in literature searches, report writing and manuscript preparation
• Present research findings to supervisor.
• Ensure compliance with research protocols.
• You may be asked to orient and train new staff or students.

Qualifications:

• A Bachelor's degree in an applicable quantitative field (e.g., computer science, data science, statistics, engineering, mathematics, economics, or a related field), MS degree preferred.
• Creativity
• Ability to quickly learn in a new work environment
• Eagerness to take initiative and solve intricate problems
• Ability to work under deadlines with general guidance.
• Exceptional research, analytical writing, and communication skills
• Excellent organizational skills and demonstrated ability to complete detailed work accurately.
• Programming experience in R, Python, Stata, SAS, and/or other languages
• Prior research experience and coursework in the empirical social sciences is preferred, but not required
• Self-guided, self-learner, and engaged in the mission of the Lab
• Experience working with machine learning frameworks (TensorFlow, TF, PyTorch, Scikit Learn, etc.), NLP, computer vision, or related fields is a plus

Application Instructions:

To be considered, please submit the following items along with your online application:

• CV
• Transcript(s) (unofficial is fine; please include all full-time programs) showing outstanding academic credentials
• Project/code samples or Github

There will be two rounds of application review. The deadline for the first round is: Monday, December 1st, 2025. The deadline for the second round is: Monday, January 5th, 2026. Applications will be evaluated on a rolling basis and preference will be given to first-round applicants.

Expected pay range: $34.00 to $40.41 per hour. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. Therefore, based on the law school’s budget, the expected pay will align closer to $34.00 per hour. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, and external market pay for comparable jobs.