Live opening · Posted 21 hours ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
Harvard University’s Berkman Klein Center for Internet & Society (BKC), an interfaculty research center, seeks a Research Manager. This is an opportunity to join a flourishing, intellectually robust community of faculty, staff, students, fellows and affiliates from multiple disciplines and backgrounds, committed to making sense of the digital environment and ensuring that it promotes human agency, dignity and genuine connection.
The Research Manager will support the design and implementation of a portfolio of research projects across various stages of development. This role will contribute directly to scholarly research that spans both the empirical, technical study of systems and legal and policy analysis of their impacts, critically review existing literature, manage research projects, assist in the production of written and multimedia outputs, plan and implementation of multi-stakeholder events, and collaborate with staff and scholars ensure the successful completion of research deliverables.
The Research Manager will join the Berkman Klein Center’s world-class community of scholars and practitioners, and work in close collaboration with the Center’s team of staff, fellows, and faculty to advance a range of interdisciplinary, cutting-edge programs and research related to the study and development of Internet & society.
To learn more about Berkman Klein Center for Internet & Society, visit us at cyber.harvard.edu/about.
As the Research Manager, you will:
Manage the quality and development of technical and policy-oriented AI research, including tracking timelines, deliverables, and coordinating with collaborators and stakeholders.
Contribute to high-quality academic research on AI systems (e.g., model evaluations, interpretability, research infrastructure) and policy-oriented work on liability, copyright, and accountability.
Implement and maintain technical research workflows across multiple models and compute environments to support rigorous, reproducible, and policy-relevant AI research.
Contribute to academic outputs (e.g. policy briefs, research papers,) and public-facing scholarship and commentary (e.g. essays, op-eds), seeing them through to publication.
Recruit, mentor, and manage junior researchers, research assistants, and interns; review technical and written work.
Develop grant proposals, including drafting proposal materials and coordinating inputs across teams., and manage post-award grant activities, including tracking deliverables and reporting requirements, and coordinating with finance and research administration.
Design and manage convenings, workshops, roundtables, seminars, and other events, including with external partners such as industry, policymakers and regulators, civil society, and academic collaborators.
Basic Qualifications
Bachelor’s degree and 5 or more years of experience (including in an educational context) in research, analysis, or related field.
Proficiency in programming languages or tools such as Python, R, or SQL
Additional Qualifications and Skills
We are looking for people who have:
Experience conducting research and analysis on law and policy as applied to technology or AI, as well as a track record of published research; peer-reviewed publications preferred.
Experience drafting and editing policy-relevant materials –including policy briefs, reports, presentations, or grant materials–and communicating clearly and effectively with a range of audiences.
Strong project management and organizational skills, including the ability to manage multiple projects and priorities in a fast-paced environment while maintaining attention to detail.
Experience running compute-intensive machine learning experiments, including on high-performance or GPU computing clusters.
Familiarity with AI tools and workflows, including large language models and AI-assisted coding tools such as Claude Code, and the ability to apply them effectively to research and analytical tasks.
Experience in trust and safety, including prompt engineering and AI red teaming.
Strong interpersonal and collaborative skills, with the ability to work effectively with faculty, staff, and external stakeholders across institutional contexts.
A strong commitment to working in the public interest.
Supervisory experience.
Willingness to travel as needed.
Employment type
Full-time
Work arrangement
Hybrid
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