Jobs / United States / Harvard University

Harvard University

Research Manager, HBS AI Institute

Boston, MA, US Posted 1 month ago

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 123 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Harvard University paid sponsored hires in similar roles37 certified filings for “Research Fellow” (Molecular and Cellular Biologists) in MA: $76k–$81k, median $76k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 123 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Harvard University paid sponsored hires in similar roles
37 certified filings for “Research Fellow” (Molecular and Cellular Biologists) in MA: $76k–$81k, median $76k. Most were filed at wage level I (73%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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 Basic Qualifications: • 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 • Other Information: • This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday – Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice. • 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 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 Harva

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