Research Manager

Harvard Law School is Harvard University’s law school, providing legal education, clinical learning, legal scholarship, and research programs.

Cambridge, Massachusetts, United States
About Harvard Law School

Founded in 1817, Harvard Law School is an active academic unit of Harvard University in Cambridge, Massachusetts. It offers more than 500 courses and seminars, clinical education, faculty research, and legal scholarship.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will manage and develop technical and policy-oriented AI research projects, coordinating timelines, deliverables, collaborators, and stakeholders. You will conduct research on AI systems and related law and policy; maintain reproducible technical workflows; and develop research papers, policy briefs, essays, and other publications. You will supervise junior researchers, support grant proposals and post-award activities, and organize workshops, roundtables, seminars, and convenings with external partners.

Requirements

  • Bachelor’s degree and 5 or more years of experience in research, analysis, or a related field.
  • Proficiency with Python, R, or SQL.
  • Experience conducting research and analysis on technology or AI law and policy.
  • Track record of published research; peer-reviewed publications preferred.
  • Experience drafting and editing policy-relevant materials.
  • Project management and organizational skills.
  • Experience running compute-intensive machine learning experiments on high-performance or GPU computing clusters.
  • Familiarity with AI tools and workflows, including large language models and Claude Code.
  • Experience in trust and safety, prompt engineering, and AI red teaming.
  • Supervisory experience.
  • Willingness to travel as needed.

Responsibilities

  • Manage the quality and development of technical and policy-oriented AI research.
  • Track research timelines and deliverables and coordinate with collaborators and stakeholders.
  • Conduct academic research on AI systems and policy topics including liability, copyright, and accountability.
  • Implement and maintain reproducible technical research workflows across models and compute environments.
  • Produce policy briefs, research papers, essays, op-eds, and other scholarly outputs.
  • Recruit, mentor, and manage junior researchers, research assistants, and interns.
  • Develop grant proposals and manage post-award deliverables and reporting.
  • Design and manage workshops, roundtables, seminars, convenings, and other events.

Benefits

  • Generous paid time off, including parental leave
  • Medical, dental, and vision insurance from day one
  • Retirement plans with university contributions
  • Wellbeing and mental health resources
  • Support for families and caregivers
  • Tuition assistance and reimbursement
  • Commuter benefits, discounts, and campus perks