Harvard Medical School
Closing soon
Just Landed
New Today
Postdoctoral Research Fellow in Global Mental Health Implementation Science Harvard Medical School in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
This is a salaried, benefits-eligible postdoctoral fellow position with salary determined by years post-PhD. The appointment is for one year from hire with possible extension depending on performance, business need, and continued funding. The fellow is expected to apply for fellowship funding.
Deadline
Nov 1, 2026
Country
United States
University
Harvard Medical School

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
Postdoctoral Research Fellow in Global Mental Health Implementation Science at Harvard Medical School, in the Mental Health for All Lab (Department of Global Health and Social Medicine).
This position focuses on digital health, mental health research, implementation science, and the scale-up of psychosocial interventions in underserved settings in the United States and globally. The fellow will work with Dr. John Naslund on studies involving task-sharing, community-based mental health services, intervention development, protocol design, data analysis, stakeholder engagement, and dissemination.
The role is especially relevant for applicants with backgrounds in biostatistics, bioinformatics, medicine, health economics, social work, sociology, clinical psychology, epidemiology, or related fields. The post emphasizes research design, fieldwork, collaboration with clinicians and community members, and experience in low-resource or underserved settings. Knowledge of serious mental illness and service interventions is highlighted.
The appointment is postdoctoral, salaried, and benefits eligible. It is a one-year term with possible extension, contingent on performance, business need, and continued funding. The fellow is expected to apply for fellowship funding and contribute to grants, manuscripts, presentations, teaching/mentoring, and lab operations.
Location: Boston, Massachusetts, with frequent travel to U.S. and international field sites.
Deadline: November 1, 2026. Applications are reviewed on a rolling basis until filled.
How to apply: Submit a cover letter, CV, and three publications through the Harvard posting. The cover letter should explain your interest in the lab, initial research ideas, and fit with the listed qualifications.
Funding details
This is a salaried, benefits-eligible postdoctoral fellow position with salary determined by years post-PhD. The appointment is for one year from hire with possible extension depending on performance, business need, and continued funding. The fellow is expected to apply for fellowship funding.
What's required
Applicants must hold a doctoral degree (e.g., PhD, ScD) in biostatistics, bioinformatics, implementation science, medicine, health economics, social work, sociology, clinical psychology, epidemiology, or a related field. Required experience includes research design and data analysis in areas such as clinical trials, implementation science, economic evaluation, digital health, statistical analysis for clinical trials, or big data analysis; demonstrated fieldwork and stakeholder engagement; experience working in community settings, especially underserved or low-resource areas; ability to travel for international fieldwork; and current knowledge of serious mental illness, mental health problems, and service interventions in low-resource settings. Previous training in clinical mental health fields is preferred.
How to apply
Submit the application through the Harvard Academic Positions posting and include a cover letter describing your interest in the lab, initial research ideas, and your suitability for the role. Upload a CV and three publications, and provide any optional research statement if desired.
More information can be found here
Ask ApplyKite AI

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.