Policy Research Fellow: Empirical Data & Analysis

Stanfordlivetickets; Palo Alto (CA); On-site; USD 65,000 - 73,000; Full time

Benefits offered by this job

Course auditing

Access to lectures

Job summary

Stanford Law School invites applications for a one-year research fellowship starting Summer 2027, with potential renewal for a second year based on performance. Fellows assist faculty in empirical social science research and may pursue further graduate study.

The program emphasizes training in causal inference and machine learning in a policy-relevant setting. Fellows gain exposure to coursework auditing and on-campus lectures, with a strong emphasis on methodological rigor, data analytics, and

Qualifications

• Experience in a quantitative discipline such as economics, political science, CS, statistics, or math.
• Training in causal inference and/or ML methods.
• Bachelor’s degree, preferably in social sciences or related field.
• Outstanding academic credentials and intellectual creativity.
• Eagerness to take initiative and solve intricate problems.
• Excellent time-management and ability to work with minimal supervision.
• Exceptional research and analytical writing skills.
• Programming experience in R, Python, Stata, or similar languages.
• Prior research coursework in empirical social sciences preferred but not required.

Responsibilities

• Collecting, managing, and structuring quantitative datasets.
• Conceptualization of empirical methodologies and models.
• Statistical analyses of complex datasets and interpretation of results.
• Communication with government officials, industry stakeholders, and research collaborators.
• Report writing and manuscript preparation.

Skills

Quantitative analysis

Causal inference / ML

Academic initiative

Time management

Written communication

Independent work

Education

Bachelor’s or Master’s degree

Tools

R

Python

Stata

Job description

Stanford Law School invites applications for a one-year research fellowship starting Summer 2027, with potential renewal for a second year based on performance. Fellows assist faculty in empirical social science research and may pursue further graduate study.

The program emphasizes training in causal inference and machine learning in a policy-relevant setting. Fellows gain exposure to coursework auditing and on-campus lectures, with a strong emphasis on methodological rigor, data analytics, and