Research Coordinator
Harvard Law School is Harvard University’s law school, providing legal education, clinical learning, legal scholarship, and research programs.
Funding history
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.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will support AI-focused academic research and related programs by conducting scholarly research, reviewing literature, contributing to deliverables, and monitoring project timelines. You will coordinate meetings, events, and workshops; maintain project-management tools; facilitate presentations; communicate workstream developments; and write, edit, and design program materials. You may also supervise interns and research assistants as needed.
Requirements
- Bachelor’s degree or equivalent experience
- 2+ years of experience in research, analysis, or a related field, including educational experience
- Proficiency with Python, R, SQL, or similar programming languages or tools
- Experience working with large or complex datasets
- Experience running compute-intensive machine-learning experiments on high-performance or GPU computing clusters
- Familiarity with AI tools and workflows, including LLMs and AI-assisted coding tools such as Claude Code
- Experience drafting and editing policy-relevant outputs
- Project management, communication, facilitation, writing, editing, proofreading, and interpersonal skills
Responsibilities
- Provide research and operational support for AI-focused academic workstreams, programs, and events
- Conduct scholarly research and critically review relevant literature
- Contribute to project deliverables and reports
- Monitor project timelines and outputs and maintain online project-management tools
- Schedule and organize meetings, events, and workshops
- Assist with presentations and program facilitation
- Inform internal and external audiences about AI-learning developments
- Produce basic graphic design materials and write and edit web content, blog posts, memos, and other documents
- Support program communities and supervise interns and research assistants 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