AI Research & Policy Manager

Harvard Law School

Cambridge (MA)

Hybrid

USD 110,000 - 150,000

Full time

14 days+

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Job summary

The Berkman Klein Center for Internet & Society at Harvard University seeks a Research Manager to support a portfolio of AI research projects spanning empirical, technical, legal, and policy analyses. You will work with faculty, staff, fellows and external partners to advance rigorous, impactful scholarship.

Responsibilities include designing workflows for AI research, coordinating timelines, producing outputs (papers, briefs, op-eds), mentoring junior researchers, and developing grant

Qualifications

  • Bachelor’s degree and 5+ years of research, analysis, or related work experience.
  • Proficiency in Python, R, or SQL.
  • Experience conducting research on law and policy related to technology or AI; publications preferred.
  • Strong project management and organizational skills with multiple competing priorities.

Responsibilities

  • Manage the design and implementation of a portfolio of AI research projects.
  • Contribute to scholarly research spanning empirical, technical, legal, and policy analyses.
  • Review literature, manage projects, and produce written/multimedia outputs.
  • Plan and run multi-stakeholder events; coordinate with staff and scholars.
  • Develop academic outputs and public-facing commentary through publications.
  • Recruit, mentor, and supervise junior researchers and interns.
  • Develop grant proposals and manage post-award activities; coordinate with finance.
  • Design and manage convenings with industry, policymakers, and academics.

Skills

Python
R
SQL

Education

Bachelor’s degree

Job description

The Berkman Klein Center for Internet & Society at Harvard University seeks a Research Manager to support a portfolio of AI research projects spanning empirical, technical, legal, and policy analyses. You will work with faculty, staff, fellows and external partners to advance rigorous, impactful scholarship.

Responsibilities include designing workflows for AI research, coordinating timelines, producing outputs (papers, briefs, op-eds), mentoring junior researchers, and developing grant

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