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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 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 with Additional Job Details (if applicable) Physical Requirements * Standing N/A = (0%) * Walking N/A = (0%) * Sitting N/A = (0%) * Lifting N/A = (0%) * Carrying N/A = (0%) * Pushing N/A = (0%) * Pulling N/A = (0%) * Climbing N/A = (0%) * Balancing N/A = (0%) * Stooping N/A = (0%) * Kneeling N/A = (0%) * Crouching N/A = (0%) * Crawling N/A = (0%) * Reaching N/A = (0%) * Gross Manipulation (Handling) N/A = (0%) * Fine Manipulation (Fingering) N/A = (0%) * Feeling N/A = (0%) * Foot Use N/A = (0%) * Vision - Far N/A = (0%) * Vision - Near N/A = (0%) * Talking N/A = (0%) * Hearing N/A = (0%) Remote Type Onsite Work Location 221 Longwood Avenue EEO Statement: 2200 The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.