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Research Fellow, Regulation, Evaluation, and Governance Lab (RegLab) , Stanford Law School

School of Law, Stanford, California, United States

New

Research

Post Date 2 hours ago

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 RegLabis 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.

**The expected pay range for this position is $34.00 to $40.41per 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.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. 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, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

_*Note: The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._

_*Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job._

_*Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law._

_*Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University._

Additional Information

+ **Schedule: Full-time**

+ **Job Code: 4234**

+ **Employee Status: Fixed-Term**

+ **Grade: E**

+ **Requisition ID: 107647**

+ **Work Arrangement : Hybrid Eligible, On Site**