Research Fellow, Reglab - Stanford Law School

Job Description

Full Time

ONE-YEAR FIXED TERM Fellowship

Budgeted Range: The Law School’s budgeted pay for or this position is: $34.13 per hour.

Multiple Positions will be Filled

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 (https://reglab.stanford.edu/) builds the evidence base and technology for effective government. Our interdisciplinary team of engineers, data scientists, social scientists, and legal experts partners with agencies at every level—from federal departments to states, counties, and cities—bringing frontier AI, machine learning, and causal inference to the public sector. RegLab’s work has prompted an overhaul of tax auditing, mapped racial covenants across millions of records, and enabled streamlining of statutes and regulations.

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

How to apply:

There will be two rounds of application review. The deadline for the first round is 7:00AM PST on Friday, October 23, 2026. All applications received before this date are guaranteed to be read while there is a spot open. After this date we will still be accepting applications, however preference will be given to first round applications.

Applicants with Optional Practical Training (OPT) temporary employment authorization are eligible to apply. Depending on the circumstances, Stanford may sponsor J-1 visas for this position.

There is a two-step process to be considered for this fellowship:

1. Please submit your resume and cover letter when you apply through Stanford’s career site – reference job number: 201228

2. Additionally, upload all of the following here https://reglab.stanford.edu/work-with-us/ .

• Brief cover letter explaining your interest in the position and which graduate degree(s), if any, you hope to pursue following the fellowship

• Current resume or CV

• Transcript (unofficial version acceptable)

• Writing/code sample