Research Fellow in Empirical Law and Finance - Stanford Law School

Research Fellow in Empirical Law and Finance – Stanford Law School

Join to apply for the Research Fellow in Empirical Law and Finance role at Stanford University.

Full‑time, starting Summer 2026. Fellows may be considered for an earlier start. The fellowship lasts one year, with the possibility of renewal for a second year based on performance and mutual agreement.

Robert Bartlett, the W.A. Franke Professor of Law and Business at Stanford Law School and Professor of Finance (by courtesy) at Stanford Graduate School of Business, is recruiting a full‑time research fellow to work on projects related to venture capital finance, corporate governance, securities regulation and disclosure, and/or equity market structure. The position is aimed at individuals who have recently completed or will soon complete an undergraduate or master’s degree and are considering pursuing a Ph.D. or JD in the near future.

Fellows will be part of a vibrant community of scholars at Stanford Law School.

• Plan and perform research tasks requiring initiative and judgment, applying basic knowledge of empirical methodologies and models under faculty supervision.
• Conceptualize suitable empirical methodologies and models.
• Collect, manage, and structure quantitative datasets.
• Conduct statistical analyses of complex datasets and interpret results.
• Write reports and prepare manuscripts.
• Participate in planning empirical projects.
• Implement regression and other statistical models using Stata, R, SAS, or similar statistical programming languages.
• Develop and administer surveys using validated variables and questions.
• Conduct targeted literature searches on recent scholarship related to assigned research.
• Communicate with high‑level officials, industry stakeholders, and research collaborators.
• Assist in designing research findings for internal and external audiences through reports and manuscripts.
• Formulate nationwide randomized controlled trials and create novel datasets on policy‑related research.
• Identify, extract, and summarize data and structured information; present findings to faculty supervisor.
• Ensure compliance with research protocols.

• Bachelor’s degree in a relevant quantitative field (e.g., economics, finance, business, data science, statistics, or a related field). General understanding of theories and methods typically gained through completion of an undergraduate degree in a related field.
• Effective oral and written communication skills.
• Outstanding academic credentials and intellectual creativity.
• Eagerness to take initiative and solve intricate problems.
• Experience with statistical analyses.
• Ability to work under deadlines with general guidance.
• Excellent organizational skills and demonstrated ability to complete detailed work accurately.
• Excellent time‑management skills and ability to work effectively with minimal supervision.
• Exceptional research and analytical writing skills.
• Programming experience in Stata, R, SAS, or similar statistical programming languages.
• Prior experience with machine learning and natural language processing is a plus.

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

• Statement of interest (including a summary of relevant prior experience)
• Curriculum Vitae
• Transcript
• Sample programming code
• Contact information for at least two references, preferably one who can speak to academic research skills

The deadline for the first round is 12pm PST on Monday, February 2, 2026. The deadline for the second round is 12pm PST on Monday, March 2, 2026. Applications will be evaluated on a rolling basis and preference will be given to first‑round applicants.

Expected pay range: $31.40 to $38.89 per hour.

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 the scope and responsibilities of the position, the qualifications of the candidate, departmental budget availability, internal equity, geographic location, and external market pay for…