Research Fellow in Global Mental Health Implementation Science - Military veterans preferred

Harvard University


Title: Research Fellow in Global Mental Health Implementation Science

School: Harvard Medical School

Department_Area: GHSM Mental Health for All Lab

Position Description: We invite applicants for a postdoctoral fellow position in the Mental Health for All Lab ( MHFAL ) at the Department of Global Health and Social Medicine at Harvard Medical School in Boston, Massachusetts. The work of the MHFAL lab is focused on the generation of knowledge and its effective utilization with the goal of contributing to the reduction of the global burden of suffering from mental health problems through novel approaches such as digital technology or task-sharing for scale-up of proven interventions.

We welcome applications from recent PhD graduates who are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. A key focus for this position will involve contributing to the scientific and research activities for studies focused on leveraging innovative digital technologies for scaling up proven psychosocial interventions across underserved settings in the United States. These research efforts involve participating in the development, evaluation, and implementation of task-shared mental health services in primary care settings and other community settings in the United States.

The successful candidate will work with Dr. John Naslund to develop an independent research project within the scope of the lab's research focus on implementation science and mental health services research. In addition to carrying out mental health implementation research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in teaching and mentoring of lab members as needed, and otherwise contribute to overall lab operations and collaborative environment.

Responsibilities:

(1) Develop and implement an independent research project that extends and complements the work of the lab; write and submit proposals to fund the research; secure and maintain IRB and regulatory approvals; conduct analysis, publish findings, and disseminate research findings through presentations;

(2) act as scientific liaison for day-to-day oversight of research activities between Harvard Medical School and project sites in Texas, including conducting and leading data analyses across the study components; ability to manage virtual meetings and frequent travel to the project sites in Texas is required;

(3) design intervention materials, training content, and data collection instruments; and lead the implementation of study protocols; monitor data collection and quality in the field;

(4) support capacity building at the project sites through presenting work to local stakeholders and research collaborators, providing guidance and mentorship to research staff involved in different aspects of the research project, and engaging stakeholders at the study sites and surrounding communities in dissemination of the project findings.

Location
This position is based in Boston, MA and involves frequent travel to field sites in Texas.

Application deadline
8/27/2025

Duration
This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance, business need, and continued funding to support the position.

Salary and Benefits

This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines.

Harvard Academic Workers Union

This position is represented by the Harvard Academic Workers ( HAW ) - UAW for purposes of collective bargaining and matters affecting compensation and working conditions.

Basic Qualifications: Applicants must have a doctoral degree in a relevant field which may include but is not limited to statistics/bioinformatics, implementation science, health economics, social work, sociology, clinical psychology, or epidemiology.

Applicants who will receive the doctoral diploma by the spring of 2026 may apply.

Additional Qualifications: • Record of scholarly publication, including first-authored scientific journal articles.

• Expertise in research design and data analysis, including any of the following: clinical trials, implementation science, economic evaluation, digital health, statistical analysis for clinical trials, big data analysis.

• Demonstrated track record engaging in fieldwork, involving meeting with stakeholders including study participants, clinicians, community members, and researchers.

• Experience working in or collaborating with researchers in community settings, and in particular, in underserved and low-resource areas.

• Current knowledge of mental illnesses, mental health problems and service interventions to address these disorders in low-resource settings.

Special Instructions: Include a cover letter in which you describe your interest in the lab and initial ideas for new research directions or projects you could undertake in the lab. Also describe your suitability for the position, specifically referring to the qualifications listed above.

Contact Information: Katy O'Neill, Program Manager
Mental Health for All Lab
HMS Global Health and Social Medicine
641 Huntington Avenue
Boston MA 02115

Contact Email: Katy_ONeill@hms.harvard.edu

Equal Opportunity Employer: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Minimum Number of References Required: 3

Maximum Number of References Allowed: 3

Keywords: Digital health, mental health research, health equity

Supplemental Questions: Required fields are indicated with an asterisk (*).

1. When (month and year) was your doctoral degree granted or expected to be granted? Which University granted your PhD degree and in which academic field was your PhD granted?
   (Open Ended Question)
2. Are you currently appointed at a college or university in a professorial, instructor, or lecturer role?
   • Yes
   • No
3. Please list the digital tools and methods with which you have experience.
   (Open Ended Question)

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