Publisher
source

Harvard Medical School

Postdoctoral Research Fellow in Global Mental Health Implementation Science Harvard Medical School in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Salaried and benefits-eligible postdoctoral fellow position. Duration is one year from hire with possible extension depending on performance, business need, and continued funding. The fellow is expected to apply for fellowship funding; salary is determined by years post-PhD. Visa sponsorship may be considered at Harvard's discretion, including payment of applicable fees.

Deadline

Nov 1, 2026

Country flag

Country

United States

University

Harvard Medical School

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Keywords

Computer Science
Epidemiology
Sociology
Psychology
Medicine
Biostatistics
Social Work
Health Disparities
Health Economics
Digital Health
Medical Science
Salud Pública
Implementation Science
Schizophrenia
Bipolar Disorder
Statistics

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About this position

Postdoctoral Research Fellow in Global Mental Health Implementation Science at Harvard Medical School, Department of Global Health and Social Medicine, Mental Health for All Lab (MHFAL), Boston, Massachusetts.

This postdoctoral opening focuses on global mental health, implementation science, digital health, and mental health services research. The lab works on scaling proven psychosocial interventions through innovative digital technologies and task-sharing approaches in underserved settings in the United States and internationally. The fellow will help develop study protocols, oversee implementation, conduct analyses, engage stakeholders, and support dissemination through publications and conferences.

The successful candidate will work with Dr. John Naslund to develop an independent research project aligned with the lab’s research agenda. The role also includes grant writing, manuscript preparation, teaching/mentoring support, and broader lab operations in a collaborative environment.

Eligibility highlights: recent PhD graduates are encouraged to apply; required doctoral training may be in biostatistics, bioinformatics, implementation science, medicine, health economics, social work, sociology, clinical psychology, epidemiology, or related fields. Strong experience in research design and data analysis is expected, especially in clinical trials, implementation science, economic evaluation, digital health, statistical analysis, or big data. Applicants should have fieldwork experience, stakeholder engagement skills, and familiarity with serious mental illness and low-resource service settings. International travel is required.

Funding and terms: this is a salaried, benefits-eligible one-year appointment with possible extension depending on performance, need, and funding. The fellow is expected to apply for fellowship funding. Harvard notes that visa sponsorship, if needed, is at its discretion and may involve payment of applicable fees.

Deadline: applications are reviewed on a rolling basis, with a preferred deadline of 2026-11-01. The position is based in Boston, MA, with frequent travel to U.S. and international field sites.

How to apply: submit the application through the posting and include a cover letter, CV, and required publications. In your cover letter, explain your interest in the lab, propose initial research directions, and show how your background matches the listed qualifications.

Funding details

Salaried and benefits-eligible postdoctoral fellow position. Duration is one year from hire with possible extension depending on performance, business need, and continued funding. The fellow is expected to apply for fellowship funding; salary is determined by years post-PhD. Visa sponsorship may be considered at Harvard's discretion, including payment of applicable fees.

What's required

Applicants must have a doctoral degree (e.g., PhD, ScD, or equivalent) 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

Prepare and submit an application through the posting with a cover letter describing your interest in the lab, initial research ideas, and your fit for the listed qualifications. Include a CV and required publications, and ensure your materials address the doctoral background, research design, data analysis, and fieldwork experience requested.

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