Research Fellow

About the role

Site: The Brigham and Women's Hospital, Inc.

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

Job Summary

The focus of this fellowship is an ongoing research project focused on creating, testing and validating AI methods to assist clinicians in detecting errors (false outputs) generated by multimodal AI models. The current focus of the work involves use of mechanistic interpretability techniques in the natural language domain (LLM).

Research Group: The Multi-Modal AI in Neuroimaging (MMAIN) Lab is a multi-institutional multi-disciplinary collaboration between faculty of MGB, the Northeastern University Khoury College of Computer Science (NU) and Dana Farber Cancer Institute (DF).

Faculty: Geoffrey Young MD (MGB), Jisoo Kim MD (MGB), Byron Wallace PhD (NU), Huaizu Jiang PhD (NU), Lei Qin PhD (DF)

Qualifications

Important - Application Instructions

• This is a courtesy posting. Please do not submit your application through the Workday "Apply" button.
• To be considered for this position, email your CV and cover letter describing your research interests and goals, a full list of publications to the hiring manager Kizzy Scott at
• Applications submitted only through Workday will not be forwarded to the hiring manager and may not be reviewed.

MD or equivalent degree and/or experience in clinical medical practice (eg internship, residency or fellowship training) is highly desirable. Medical students who have appropriate clinical experience and/or candidates with other educational backgrounds and clinical experience are also encouraged to apply.

No computer science, data science or coding background is required as training and close collaboration with AI researchers will be provided. The focus of the research will be to work collaboratively with computer scientists and clinicians to assist in designing, coordinating, carrying out, and analyzing domain expert clinician annotations and assessments of the mechanistic interpretability methods in clinical medicine.

What we offer

Through this fully funded 1 year fellowship, you will gain research and career mentorship from clinician and AI faculty at Harvard-affiliated institutions. With exposure to state-of-the-art multimodal AI and LLM interpretability research, you will have opportunities to publish in high-impact journals and present at national and international meetings. This will provide you with a strong foundation for future residency, fellowship, physician-scientist, or industry careers in clinical AI.

Additional Job Details (if applicable)

The compensation range for this role is between $71,750 - $81,179. Candidate experience is thoughtfully considered throughout the recruitment process, and those with significant experience may be considered for compensation above the starting range listed, as consistent with organizational guidelines and internal equity

• Years of experience
• 0 $71,750 - $73,544
• 1 $73,544 - $75,382
• 2 $75,382 - $77,267
• 3 $77,267 - $79,199
• 4+ $79,199 - $81,179
• Remote Type
• Onsite
• Work Location
• 15 Francis Street