Research Fellow, Reglab - Stanford Law School

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 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: 200XXX

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
• Contact information for no fewer than two academic references who can attest to your academic research skills and for any additional references who can speak to your character and professional skills

***Include the following only if posting on any external (non Cardinal Careers) websites, or emailing this as a pfd to listserves***

*The expected pay range for this position is $29.52 - $55.11 per hour.
Stanford University provides pay ranges representing its good faith estimate of what the salary or hourly wage the university reasonably expects to pay for a position upon hire. 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.

Core Duties:

• Plan and perform research tasks requiring initiative and judgment by applying basic knowledge and understanding of scientific theory when precedents do not provide specific guidance. General instruction provided by the supervisor as needed. May interpret study results in collaboration with supervisor or PI.
• Participate in the development and administration of survey instruments and rating scales requiring judgment in applying non-routine procedures. Analyze and summarize results for review with supervisor. Audit the accuracy and validity of data
• Review and audit case report forms for completion and accuracy with source documents, and ensure compliance with research protocols.
• Identify, select, extract and summarize data and structured information. Present summary of findings to supervisor.
• Conduct literature searches, and write literature summaries and manuscripts, requiring preliminary judgments after the supervisor outlines conceptual approach.
• Build and organize data as requested by principal investigator or supervisor; use common statistical programs requiring the application of job control language in generating and organizing data.
• Adapt new, nonstandard methods outlined by supervisor in designing and evaluating phases of research projects, (i.e., educational materials, questionnaires, strategies for recruitment, data quality control procedures and processes). May follow up with Institutional Review Board (IRB) to ensure renewals are approved and completed, seeking guidance where necessary.
• Assist with development, communication and design of research findings to internal and external audiences, which may include web updates, social media, and/or white papers, for use in recruitment, educational, or awareness of programs, with guidance from supervisor.
• May orient and train new staff or students.
  

Minimum Education and Experience

Bachelor of Arts degree in an applicable social science related field, or combination of education and relevant experience in an applicable social science.

Knowledge, Skills and Abilities:

• General understanding of scientific theory and methods, typically gained through completion of an undergraduate degree in a related field.
• General computer skills and ability to quickly learn and master computer programs.
• Ability to work under deadlines with general guidance.
• Excellent organizational skills and demonstrated ability to complete detailed work accurately.
• Effective oral and written communication skills.
• Ability to work with human study participants.