Research Assistant III Non-Lab

Research Assistant III Non-Lab

By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.

Why join Harvard Medical School?

Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership.

You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine.

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.

Qualifications

Basic Qualifications:

• College background in a related field of research study.
• 2 or more years of related work experience (relevant coursework may count towards experience).

Additional Qualifications and Skills:

• Bachelor's or Master's degree in psychology, public health, social sciences, or related field.
• Excellent interpersonal and communication skills.
• Demonstrated interest in global mental health, digital mental health, artificial intelligence in healthcare, or related areas.
• Strong organization skills with keen attention to detail, able to prioritize, use discretion with sensitive or confidential information, and manage multiple assignments simultaneously.
• Experience with quantitative and qualitative research methods.
• Strong written communication skills, as evidenced by prior academic publications and/or presentations.
• Competency in a variety of applications such as Stata, R, Microsoft Office, Outlook, REDCap, Zoom, Google Drive/OneDrive, as well as familiarity with AI-enabled research tools for tasks such as literature reviews, evidence synthesis, and research support. Confidence to adapt/learn if not familiar with an application.
• Familiarity with issues related to research ethics, data privacy, AI governance, or responsible AI is desirable.
• Ability to work collaboratively with individuals from diverse backgrounds.
• Ability to adapt and remain flexible in a changing environment.

Additional Information

• Term: This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position. 
• Standard Hours/Schedule: 35 hrs. per week | Monday - Friday | 9:00 am - 5:00 pm. Required in-person days are Tuesday, Wednesday, and Thursday in the office. There is frequent required travel to project sites in India. Some work outside of scheduled hours will be required due to working with collaborators across various time zones.
• Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.
• Pre-Employment Screening: Identity
• Staying Informed About Your Application: Due to the high volume of applications, we may not always be able to reach out right away, but you can track your status anytime through the Careers@Harvard portal.

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Work Format Details

This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Salary Grade and Ranges

This position is salary grade level 054. Please visit  Harvard's Salary Ranges  to view the corresponding salary range and related information. 

Benefits

Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: 

• Generous paid time off including parental leave 
• Medical, dental, and vision health insurance coverage starting on day one 
• Retirement plans with university contributions 
• Wellbeing and mental health resources 
• Support for families and caregivers 
• Professional development opportunities including tuition assistance and reimbursement 
• Commuter benefits, discounts and campus perks 

Learn more about these and additional benefits on our Benefits & Wellbeing Page. 

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.