Global Mental Health Research Assistant — AI & Data

Harvard University FAS Human Resources; Boston (MA); On-site; USD 55,000 - 75,000; Full time

Job summary

Harvard Medical School is seeking an early-career Research Assistant to support two major global mental health programs, OptimizeD and BRIDGE-AI, based in the Department of Global Health and Social Medicine. The role involves coordinating study activities, data analysis, literature reviews, and dissemination of findings under experienced investigators.

The position emphasizes responsible AI, ethics, governance, and collaboration with international partners, with opportunities to contribute to

Qualifications

• Early-career researcher seeking hands-on experience in global mental health, clinical research, data science, and responsible AI.
• Experience with literature reviews and evidence synthesis is a plus.
• Ability to coordinate and manage study documentation and IRB submissions.

Responsibilities

• Prepare scientific manuscripts, abstracts, reports, presentations, and dissemination materials for both studies.
• Conduct literature reviews and evidence syntheses to support analyses and study activities.
• Support completion and close-out of Optimize-D, including data quality and funder requirements.
• Support BRIDGE-AI implementation, including study coordination, data analysis, AI evaluation activities, and liaison with collaborators.
• Assist with ethics and governance work, including stakeholder workshops and development of guidance for responsible AI use.
• Coordinate IRB submissions, amendments, regulatory documentation, and study files.
• Coordinate meetings with collaborators, funders, governance bodies, and international partners.
• Organize and document quantitative and qualitative datasets; support analyses in Stata, R, or related software.

Tools

Stata

R

Job description

Harvard Medical School is seeking an early-career Research Assistant to support two major global mental health programs, OptimizeD and BRIDGE-AI, based in the Department of Global Health and Social Medicine. The role involves coordinating study activities, data analysis, literature reviews, and dissemination of findings under experienced investigators.

The position emphasizes responsible AI, ethics, governance, and collaboration with international partners, with opportunities to contribute to