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Harvard Law School

Research Manager

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Description

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.

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.

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.

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

Skills

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