Post Doctoral Fellow in Computational Medicine
Organization
Massachusetts General Hospital, Cardiovascular Research Center
Location
Description
We are seeking a post-doctoral scientist with a strong background in computation and machine learning to lead projects in cardiovascular medicine with a potentially transformative impact on clinical care. Topics of interest to the lab include digital twins, modeling cardiovascular hemodynamics, inverse problems, reinforcement learning for decision support, clinical reasoning models, automated electrocardiogram analysis, and learning novel patient representations from their data. We have a particular interest in critical care medicine, where the stakes are highest, patient complexity is the greatest, and the amount of data far outstrips any clinician’s ability to process it.
A key resource for most projects will be a deep data record of patient signals we have assembled, one rare in its scope and size. It includes thousands of patients, millions of hours of signal recordings, and is coupled to a wealth of data from the electronic medical record. The experience of working with such a rich data source from a nationally recognized institution such as Massachusetts General Hospital should prove invaluable for the applicant’s future career aspirations. For analysis we expect the applicant to take advantage of state-of-the-art machine learning tools currently available, from deep learning to denoising diffusion, scientific machine learning, differentiable programming, or neurosymbolic artificial intelligence. There is a tremendous and as yet untapped opportunity to extract synergy from data, analytics, and our practitioner’s knowledge of clinical medicine. We aim to help the candidate realize this potential to impact patient care.
A candidate’s experience in the lab could lead in several future directions, including academia, medical school, or the healthcare industry. Past lab members have successfully pursued all of these directions. Our collective experience straddles them all, and we expect to provide mentorship in all aspects of career development. The lab is a fun, friendly, and collaborative environment that values work-life balance. We are located in the Corrigan Minehan Heart Center of MGH and are active members of the greater Boston science community including MIT, Harvard, and the Broad Institute.
Requirements:
Qualified candidates should have:
·A PhD in Computer Science, Physics, Math, Engineering or related quantitative discipline
·Mature coding skills: Python or Julia
·Proficiency with Deep Learning Tools
·Experience with modeling real systems is preferred
·Knowledge of cardiovascular medicine is a plus but not required
·Ability to work independently and collaboratively
Job Responsibilities:
·Lead independent project(s)
·Present progress at weekly group meetings
·Present completed work at conferences
·Mentorship for junior members of the lab
·Publish completed work in peer reviewed journals
Please email a CV and cover letter to Nicholas Houstis, MD PhD: houstislab@mgb.org
EEO Statement
Massachusetts General Hospital is an Equal Opportunity Employer.By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.
Seniority level
* Seniority level
Internship
Employment type
* Employment type
Full-time
Job function
* Job function
Research, Analyst, and Information Technology
* Industries
Hospitals and Health Care
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