A Postdoctoral Position is available in the Cardiology Division and the Cardiovascular Research Center at Massachusetts General Hospital and Harvard Medical School in the laboratory of Drs. Nicholas Houstis and Aaron Aguirre.

We are seeking a computational scientist to address a range of questions in cardiovascular medicine. Topics of interest to the lab include inverse problems, digital twins, modeling cardiovascular hemodynamics, reinforcement learning for decision support in the intensive care unit, automated electrocardiogram analysis, predicting catastrophic clinical events such as cardiac arrests, 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. Applicants will be jointly supervised by Dr. Aguirre and Dr. Houstis of the Cardiovascular Research Center (CVRC).

The starting point for any project will entail assembling a deep data record of patient signals using a database we have assembled, one rare in its scope and size. 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 the wealth of state-of-the-art machine learning tools currently available, including deep learning, 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 a 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 a number of 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 Cardiovascular Research Center of MGH and are active members of the greater Boston science community including MIT and Harvard.

Qualifications

REQUIRED SKILLS AND EXPERIENCE

• • PhD in Computer Science, Physics, Math, Engineering or related quantitative discipline.
  
  • Mature coding skills: Python or Julia.
  
  • Proficiency with Machine Learning and/or System Modeling
  
  • Knowledge of cardiovascular medicine is a plus but not required.
  
  • Ability to work independently and collaboratively.
  
  • Growth Mindset.

SUPERVISORY RESPONSIBILITY:

• May oversee research Assistants, Technicians and Students.

WORKING CONDITIONS:

• Work will be performed in the Simches Research Building on the Massachusetts General Hospital main campus, in Boston, MA.

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.