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 computational tools currently available, tools such as scientific machine learning, deep learning, denoising diffusion, 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 all of these environments 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 MGH Cardiovascular Research Center and are active members of the greater Boston science community including MIT and Harvard.

Requirements:

Qualified candidates should have:

· A Bachelor’s or Master’s degree in computer science, engineering, mathematics, physics, or biology. Expectations and mentorship will be tailored to the applicant’s training.

· Mature coding skills: Python, Julia, or R (Python and/or Julia are preferred).

· Proficiency with Machine Learning and/or System Modeling, including libraries such as PyTorch or Flux.

· Knowledge of cardiovascular medicine is a plus but not required.

· Ability to work independently and collaboratively.

· Growth Mindset.

Interested candidates should include a resume or CV as well as a brief cover letter describing their background and interests in their application.

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.

Massachusetts General Hospital is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. 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.