Postdoctoral Research Fellowship – Medical Artificial Intelligence
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Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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
Please email all materials to the Fellowship Director Roger Dias MD PhD MBA at by July 31st 2025.The Neil and Elise Wallace STRATUS Center for Medical Simulation is committed to advancing medical education patient safety and healthcare outcomes through cutting-edge applications of medical simulation technologies supported by innovative curricula contemporary educational methodologies continuous improvement and rigorous multidisciplinary research.
At STRATUS the Medical AI & Cognitive (MAICE) Lab led by Dr. Roger Dias MD PhD MBA brings together a multidisciplinary team of clinicians engineers psychologists computer scientists and educators including collaborations with several scientists and institutions nationally and internationally. The core mission of our research lab involves the use of cutting-edge technologies to objectively measure and improve clinicians performance with the ultimate goal of enhancing patient safety and improving clinical outcomes. Our projects have been funded by NASA NIH DoD and NSF leveraging machine learning and artificial intelligence to support high-performance clinical care in a variety of settings including emergency medicine critical care surgery space and military medicine.
The Postdoctoral Fellowship in Medical AI is intended for graduates of doctoral programs in Science Technology Engineering and Mathematics (STEM) with a solid foundation in applying advanced ML/AI techniques to tackle complex problems in healthcare. The program is ideal for early-career scientists seeking additional experience in the healthcare field as well as opportunities to apply AI/ML technologies and software engineering to improve patient care and safety. The research fellow will be mentored by a multidisciplinary team of experts allowing her/him to gain extensive knowledge and experience in diverse research areas including medicine human factors cognitive science behavioral sciences and aerospace and military research.
The successful candidate will conduct research and development within the emerging field of medical AI applying advanced programming and software engineering skills. The research fellow will design and develop software architectures and train and evaluate ML/AI models to create AI-based solutions and integrate them with large multi-source clinical databases including time-series physiological data demographics behavioral and psychological assessments video audio electronic health records (EHR) and clinical performance outcomes. The fellow will also develop AI-based medical simulation applications and real-time clinical decision support systems.
Qualifications
Required:
All applicants must have a Ph.D. in a STEM discipline with extensive knowledge skills and demonstrated experience in software development AI/ML modeling and evaluations. These are the required qualifications:
Proficiency in Python and/or C
Familiar with signal processing and time series analysis
Familiar with cloud computing services and API
Demonstrated experience with AI/ML training and model evaluations including neural networks and/or large language models
Demonstrated experience with TensorFlow and/or PyTorch and/or Scikit-learn
Demonstrated prior experience in applying AI/ML in the medical field
Demonstrates research experience as lead author in peer-reviewed scientific publications
Preferred:
Previous experience with computer vision (e.g. convolutional neural networks) and/or visual language models
Salary and Benefits
The selected candidate will be appointed for two years with the opportunity to renew the appointment for a third and/or fourth year pending performance review and funding. Salary will be commensurate with experience based on BWH guidelines for postdoctoral trainees. Benefits include comprehensive health insurance optional dental vision and retirement plans and reimbursement for conference travel related to fellowship projects. BWH is a Harvard-affiliated Teaching Hospital and the research fellow with be eligible for an appointment at Harvard Medical School.
The following items are considered in the application process:
1. Current CV
2. Recent work sample (e.g. peer-reviewed manuscript pre-print GitHub code software demo)
3. At least three peer-reviewed publications in which the candidate was a significant contributor
3. Candidates selected for an interview will be asked to submit two letters of recommendation.
Application materials & queries should be emailed to:
Director of Research & Innovation
Associate Professor of Emergency Medicine Harvard Medical School
Additional Job Details (if applicable)
Remote Type
Work Location
EEO Statement:
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.
Key Skills
- All-Source Intelligence
- Military Intelligence
- GIS
- ICD Coding
- Intelligence Experience
- Military Experience
- Analysis Skills
- Microsoft Powerpoint
- Joint Operations
- Intelligence Analysis
- Leadership Experience
- Writing Skills
About Company
Patients at Mass General have access to a vast network of physicians, nearly all of whom are Harvard Medical School faculty and many of whom are leaders within their fields.
