Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Harvard University paid sponsored hires in similar roles37 certified filings for “Research Fellow” (Molecular and Cellular Biologists) in MA: $76k–$81k, median $76k.
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✓
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
The Mental Health for All Lab promotes the generation of knowledge and its effective utilization with the goal of contributing to the reduction of the global burden of mental health problems through task-sharing scale-up and digital interventions. The research program is based in the Department of Global Health and Social Medicine at Harvard Medical School and is under the direction of Prof. Vikram Patel and is co-led by Dr. John Naslund.
The Mental Health for All Lab is seeking a Research Assistant (RA) to support two major global mental health research programs: OptimizeD, a large precision medicine trial for depression in India funded by the National Institute of Mental Health (NIMH), and BRIDGE-AI, a Wellcome-funded study focused on the safe and equitable integration of artificial intelligence into clinical supervision for task-shared mental health care. The OptimizeD study aims to optimize treatment for depression by determining which patients will do better on antidepressant medication versus behavioral activation psychotherapy through a machine learning-generated precision treatment rule. More information about the study can be found in the study protocol: https://link.springer.com/article/10.1186/s12888-025-07030-9?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20250730&utm_content=10.1186%2Fs12888-025-07030-9
BRIDGE-AI will adapt and evaluate an AI tool to improve therapy quality in India and develop an ethical and governance framework for the safe, equitable, and responsible use of AI in mental health supervision. The project combines global mental health, implementation science, artificial intelligence, bioethics, and lived-experience perspectives.
This position is intended for an early-career researcher interested in gaining hands-on experience at the intersection of global mental health, clinical research, data science, and responsible AI. During the initial phase of the appointment, the RA is expected to divide their effort between OptimizeD and BRIDGE-AI. As OptimizeD activities are completed, the position will transition primarily to BRIDGE-AI.
• Contribute to the preparation of scientific manuscripts, abstracts, reports, presentations, and dissemination materials for both studies.
• Conduct literature reviews and evidence syntheses to support analyses, manuscripts, and study activities.
• Support the completion and close-out of Optimize-D, including monitoring outstanding follow-up assessments, data quality, study documentation, and funder requirements.
• Support BRIDGE-AI implementation, including study coordination, data analysis, AI evaluation activities, and liaison with technical and clinical collaborators.
• Support BRIDGE-AI ethics and governance work, including stakeholder workshops and focus groups, synthesis of findings, and development of guidance for the responsible use of AI in clinical supervision.
• Prepare and maintain IRB submissions, amendments, regulatory documentation, and study files.
• Coordinate meetings and communication with collaborators, funders, governance bodies, and international partners.
• Assist with the organization, management, and documentation of quantitative and qualitative datasets and support analyses in Stata, R, or related software.
• Support NIMH and Welcome Trust reporting, data submissions, and other project deliverables.
• Undertake other research and project coordination activities as needed.
As part of your application, we recommend including a writing sample that will help us better understand your qualifications and background. This can provide valuable insight into your experience and interest in the role.
Basic Qualifications:
• College background in a related field of research study.
• 2 or more years of related work experience (rele
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