Research Fellow, Intellectual Property, Stanford Law School

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Research Fellow, Intellectual Property, Stanford Law School

Stanford University

Job Number:

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.

Job Description

Professor Mark Lemley and Professor Lisa Ouellette are looking for a research fellow with expertise in qualitative or quantitative empirical studies to help with empirical projects related to intellectual property. There will be opportunities to work closely with professors on academic projects and possibly to co-author papers. Applications will be considered both from those looking to gain research experience before applying to graduate school (including PhD, JD, and MBA programs) and from those who have completed graduate-level training in the empirical social sciences and are seeking an opportunity to enhance their knowledge of IP law.
As a full-time Stanford University employee, the fellow will receive a competitive salary and benefits package, including the ability to elect health insurance, access to campus athletic and academic facilities, paid vacation time, professional development funds, and the capacity to audit Stanford courses and attend on-campus lectures and seminars free of charge.

The fellowship is a full-time position lasting approximately one year. The research fellow is expected to begin employment in summer 2019.


  • Conceptualization of suitable empirical methodologies and models
  • Collecting, managing and structuring datasets
  • Designing and implementing surveys and interviews
  • Statistical analyses of complex datasets and interpretation of results
  • Communication of results
  • Bachelor's or graduate degree (including JDs) reflecting sophisticated training in empirical social sciences, including but not limited to economics or statistics
  • Experience collecting data sets (including through data scraping), running regressions, and/or designing and implementing surveys and interviews
  • Experience with statistical software packages (Stata, R, SAS, etc.) and/or programming languages (Python, Java, C++, etc.)
  • Strong interest in working on IP topics; knowledge of intellectual property law is desirable, but not required
  • Excellent academic credentials and intellectual creativity
  • Eagerness to take initiative and solve problems
  • Outstanding time-management skills and ability to work effectively with minimal supervision
  • Exceptional research and analytical writing skills

Application Deadline and Requirements
Application Deadline: January 4, 2019

Applicants should submit the following materials online via the Cardinal Careers website. Complete application materials will include:

(1) Cover letter

(2) Resume or CV

(3) Official transcripts from undergraduate and any graduate institutions attended

(4) Independent (non-co-authored) writing sample, ideally using empirical, econometric, or statistical methodologies to analyze a research question

(5) Contact information (name, title, phone, email, and relationship to applicant) of at least two references, preferably ones who could speak to your academic research skills (letters of recommendation are not required, but if available, they may be submitted to Angela Antia at [email protected])

Candidates will be selected based on their qualifications, including their academic merit and the intellectual strength of their writing sample
All inquiries about the program can be sent to Angela Antia at [email protected].


Location: School of Law, California, United States
Classification Level:

To be considered for this position please visit our web site and apply on line at the following link:

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

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Job No:
Posted: 11/6/2018
Application Due: 1/7/2019
Work Type: