Research Manager

Posted 2 Hours Ago
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Cambridge, MA, USA
Hybrid
Senior level
Edtech
The Role
Manages interdisciplinary AI research projects spanning model evaluation, interpretability, research infrastructure, technology policy, trust and safety, and AI accountability. Coordinates collaborators, workflows, deliverables, grants, publications, and stakeholder events. Supervises junior researchers and supports technical and policy-oriented research outputs, including academic papers, policy briefs, essays, and presentations. The role also requires machine learning experimentation on GPU clusters, research reproducibility, proposal development, and engagement with policymakers, industry, academia, and civil society.
Summary Generated by Built In
Company Description

By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.

Why join Harvard Law School?

Join a community that combines excellence in legal education and scholarship with a deep commitment to justice. Here at Harvard Law School (HLS), you’ll find an environment that values who you are and encourages you to grow, inspire others, and make a meaningful impact. Wherever you are in your career journey, HLS is a place where you can thrive, contribute, and be part of something bigger.

Job Description

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.  

Qualifications

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.

Additional Information

Appointment End Date: As with all Berkman Klein Center positions, this is a term appointment currently expected to extend to June 30, 2027 with potential for renewal, subject to departmental funding and need. 

Standard Hours/Schedule: Full-time.

Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position

Pre-Employment Screening: Identity, Education.

Other Information:

All offers are made by HLS Human Resources.

Work Format Details

This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Salary Grade and Ranges

This position is salary grade level 056. Please visit  Harvard's Salary Ranges  to view the corresponding salary range and related information. 

Benefits

Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: 

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

Learn more about these and additional benefits on our Benefits & Wellbeing Page. 

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Skills Required

  • Bachelor’s degree
  • Five or more years of experience in research, analysis, or a related field, including educational experience
  • Proficiency in Python, R, or SQL
  • Experience conducting research and analysis on law and policy as applied to technology or AI
  • Track record of published research; peer-reviewed publications preferred
  • Experience drafting and editing policy briefs, reports, presentations, or grant materials
  • Strong 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 AI-assisted coding tools such as Claude Code
  • Experience in trust and safety, prompt engineering, and AI red teaming
  • Strong interpersonal and collaborative skills
  • Strong commitment to working in the public interest
  • Supervisory experience
  • Willingness to travel as needed

Harvard Business School Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harvard Business School and has not been reviewed or approved by Harvard Business School.

  • Leave & Time Off Breadth — Time off is considered broad, covering vacation, sick and personal days, numerous paid holidays including a winter recess, and paid parental leave. This breadth is positioned as a core part of the total rewards package.
  • Healthcare Strength — Health coverage includes multiple medical plan options alongside dental, vision, FSAs/HSAs, and specialized support for high medical costs. This range of options is framed as competitive with large private employers.
  • Retirement Support — Retirement programs include a university tax‑deferred 403(b) with automatic enrollment and escalation plus additional pension/retirement programs for eligible groups. These features are presented as part of a strong long‑term financial benefits offering.

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The Company
HQ: Boston, MA
Year Founded: 1908

What We Do

Founded in 1908 as part of Harvard University, Harvard Business School is located on a 40-acre campus in Boston. Its faculty of more than 250 offers full-time programs leading to the MBA and PhD degrees, as well as more than 175 Executive Education programs, and Harvard Business School Online, the School’s digital learning platform. For more than a century, faculty have drawn on their research, their experience in working with organizations worldwide, and their passion for teaching, to educate leaders who make a difference in the world. The School and its curriculum attract the boldest thinkers and the most collaborative learners who will go on to shape the practice of business and entrepreneurship around the globe. Community Guidelines: We may hide or block persons or hide or delete comments that include obscenities or are explicit, are spam or duplicate posts, spread misinformation, are irrelevant to the post, or are otherwise deemed inappropriate.

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