Jobs / United States / Harvard University

Harvard University

Research and Data Specialist

Cambridge, 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 roles2 certified filings for “Research Associate” (Data Scientists) in MA: $74k–$95k, median $85k.
  • 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
2 certified filings for “Research Associate” (Data Scientists) in MA: $74k–$95k, median $85k. Most were filed at wage level I (100%) — 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

Reporting to the Director of Research Computing and Data Services within Research and Library Services (RLS), and in support of the mission of the Harvard Kennedy School, the Research and Data Specialist bridges traditional reference services with specialized consultation, training, and facilitation in research and data for faculty, students, and fellows. This individual contributor role supports teaching and learning by administering student access to technology in courses, and working with faculty, administrative staff, and students to understand needs and champion solutions. The Specialist works closely with the members of the Research Computing and Data Services and the Library Services groups to ensure alignment and integrated provision of solutions. The role works closely with the Director of Research Computing and Data Services to scope and address emerging needs of the HKS community. Job-Specific Responsibilities: • Delivers individualized, in-depth research and data consultations to faculty, students, and fellows, with a focus on reference research, research design, research methods and data analysis and assists students and researchers in identifying appropriate datasets and data sources, devising research strategies, and using citation and analytical tools effectively. • In collaboration with RLS staff designs, develops, and delivers training and workshops to develop and enhance research and data skills; develops and continually improves instructional materials, curricula, and online training resources guided by best practices and needs of the community. • Administers student licenses for tools used in courses at HKS (e.g. ChatGPT Edu and Claude) • Manage user access to HKS and/or Harvard licensed data, software and other research, teaching, and learning resources. • Supports data management processes related to course work, including reviewing data management plans for capstone projects and providing consultations in data management to students. • Partners with the RLS Library Services group to embed research and data literacy into course-integrated instruction and orientations; embeds as a course consultant as requested by faculty. • In collaboration with RLS staff, builds strong working relationships with faculty, research centers, students, and research-affiliated staff to understand data needs across the HKS community and works with the Director of Research Computing and Data Services and the Director of Library Services to proactively develop services and programming that address those needs. • Fosters a spirit of teamwork and unity among the department that allows for disagreement over ideas and the appreciation of diversity as well as cohesiveness, support, and working effectively together to enable each employee and the department to succeed in our efforts to support the HKS community and mission.   Basic Qualifications: • Master’s degree in library and information science, social science, or a related field and a minimum of 2 years of professional experience in research data services, research consulting, or a closely related role in a research, teaching and learning organization. • A complete application must include a cover letter and resume. Additional Qualifications and Skills: • Proficiency in a programming language (such as R, Stata, Python) used in public policy, social science, or government and public administration research. • Knowledge of datasets and information resources relevant to public policy, social science, or government and public administration research. • Experience supporting research in a library with a focus on teaching, learning, and research, policy research institution, or similar environment. • Familiarity with data management planning, open data practices, and re

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