Job Information

Stanford University Research Fellow, Stanford Securities Litigation Analytics, Stanford Law School in Stanford, California

Research Fellow, Stanford Securities Litigation Analytics, Stanford Law School

School of Law, Stanford, California, United States


Post Date May 03, 2024

Requisition # 103104

Research Fellow, Stanford Securities Litigation Analytics

Fixed Term Fellowship: 1-year appointment with possible renewal for up to two additional years


Stanford Securities Litigation Analytics is a research hub within Stanford Law School focusing on public company shareholder litigation and corporate governance matters. SSLA closely collaborates with legal practitioners and risk managers to pursue research questions with practical applications. SSLA’s Research Fellowship position is designed to provide recent college or master’s program graduates looking for experience and exposure to the field and for those considering graduate school, law school, and/or business school in the future.

The person in this position will report to the Executive Director of the SSLA project, Jason Hegland, and SSLA Fellow & Research Manager David Gonyer. The person in this position will be responsible for data collection, data analysis, drafting blog posts, articles and reports, and the expansion of the database into new areas of corporate and securities litigation. The person in this position will use various research tools, such as Bloomberg Law, Lexis Securities Mosaic, Sentieo, CRSP and Compustat/CapIQ financial database, etc.


  • Aggregating and reviewing court filings, SEC disclosures, academic papers, news reports and industry

  • Extracting data from research sources and entering it into SSLA databases related to corporate and securities litigation

  • Statistical analyses of data in those databases

  • Communication with research collaborators and industry practitioners

  • Analyzing the data and contributing to publication drafts

  • Working with other SSLA researchers and developers to identify opportunities for improving data quality and research methodology


  • Bachelor’s degree, preferably in the social sciences or another relevant field

  • Outstanding academic credentials and intellectual creativity

  • Coursework in statistics or econometrics

  • Experience with empirical research

  • Writing experience and coursework in social sciences preferred, but not required

  • Programming experience in Stata or R is preferred, but not required

  • Experience and excellent skills in displaying data using Excel

The expected base pay for this position is $67,000 (Stanford local region). Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.

*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.

*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.

*Stanford University 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.

*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.

Additional Information

  • Schedule: Full-time

  • Job Code: 1384

  • Employee Status: Fixed-Term

  • Grade: H99

  • Department URL:

  • Requisition ID: 103104

  • Work Arrangement : On Site