Organization
Massachusetts General Hospital, Cardiovascular Research Center
Houstis Lab/Aguirre Lab
Location
Boston, MA
Description
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 neuromyotonic artificial intelligence. There is a tremendous and 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 several future directions, including academia, medical school, or the healthcare industry. Past lab members have successfully pursued all 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 in the Corrigan Minehan Heart Center and the Cardiovascular Research Center of MGH and are active members of the greater Boston science community including MIT and Harvard.
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 Machine Learning and/or System Modeling
- Knowledge of cardiovascular medicine is a plus but not required
- Ability to work independently and collaboratively
- Growth Mindset
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
EEO Statement
TMassachusetts 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
Contact
Nicholas Houstis, MD, PhD
Email: nhoustis@mgb.org