Research Manager, HBS AI Institute
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Requirements
- 5+ years work experience or equivalent combination of education and experience
- Experience in higher education or research. Demonstrated understanding of research methods and protocols preferred.
- Experience with research compliance protocols such as IRBs, DUAs, and data safety submissions.
- Strong and diplomatic communicator-both verbally and in writing.
- Additional Qualifications and Skills:
- Ability to set and manage competing priorities in fast-paced environment while maintaining a keen attention to detail.
- Ability to troubleshoot obstacles, proactive and collaborative abilities.
- Appointment End Date: This position is approved for a (2)-year term (with possibility of renewal/extension) which begins on the person's first day of employment.
- Standard Hours/Schedule: 40 hours per week
- Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position
- Pre-Employment Screening: Identity
- We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role.
- A cover letter is required to be considered for this opportunity.
- Work Format Details
- 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
Additional Information
Job Summary: The Research Manager, AI will support research at the HBS AI Institute at Harvard by being the in-house expert on research compliance, finance, and other policies leveraging AI tools to navigate these areas. The Research Manager will report to the HBS AI Institute Director of Research Services. Job-Specific Responsibilities: Configures, co-develops, and uses AI tools to support faculty principal investigators and researchers developing required research documentation, such as Institutional Review Board (IRB) submissions, data use agreement (DUA) exhibits, scopes of work (SOW), and budgets, with the goal of accelerating approval by delivering better first drafts to HBS and Harvard research administration. Identifies additional opportunities for use of agentic AI and other tools to streamline compliance workflow and develops strategy for deployment and adoption by HBS AI Institute and other HBS faculty. Partners with HBS Division of Research and Faculty Development (DRFD) to enhance AI tools to best serve their needs as reviewers and approvers of research compliance documents. Serves as in-house policy expert, well-versed in University and HBS policies and how they intersect. Works across all parts of the HBS AI Institute research program, quickly understanding new projects and their compliance needs. Flags issues for escalation to appropriate HBS AI Institute, HBS, or Harvard offices. Conducts training on research policies and use of the AI tools for HBS AI Institute research associates and postdoctoral fellows. Promotes best practices for the responsible conduct of research and research integrity. Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents. This role is responsible for other duties as assigned
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