Research Fellow
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
Dr. Moqri’s research group at Brigham and Women’s Hospital, a major teaching hospital of Harvard Medical School, is seeking two motivated and talented Postdoctoral Research Fellows interested in the application of AI/ML models for predicting and improving patient outcomes.
Qualifications
The Postdoctoral Research Fellows will develop and lead projects closely aligned with Dr. Moqri’s research program, including:
Development and validation of predictive models for aging-related diseases Development and validation of predictive models for transplant patients
Additionally, the postdoctoral scholars will:
Lead preparation of scholarly manuscripts reporting new and ongoing research findings
Apply for additional research funding to support long-term research on patient outcomes
Contribute as collaborators on other ongoing projects within the group
Collaborate on research mentored by Dr. Moqri to design, plan, and execute studies
Prepare career-development award applications to support the transition to an independent scientist role
Attend one-on-one and small-group meetings to review progress and plan next steps
Perform other job duties as assigned
Qualifications
PhD in Computational Biology, Bioinformatics, Machine Learning, Computer Science, Statistics, or a related field (recently completed or expected to be completed within the next few months)
Strong publication record demonstrating expertise in computational or predictive modeling
Expertise in programming, particularly in Python
Excellent organizational, communication, and teamwork skills
Strong interest in translational research and improving patient outcomes
Application Instructions: Please submit (a) a brief cover letter detailing your relevant experience and interest in the project and providing contact information for 3 references, and (b) your CV to [email protected] with
Additional Job Details (if applicable)
Physical Requirements
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EEO Statement:
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