Job Description

Site: Massachusetts General Physicians Organization, Inc.



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

Research Fellow with a strong background in computation to lead projects in cardiovascular medicine with a potentially transformative impact on clinical care.

Qualifications

Description

We are seeking a post-doctoral scientist with a strong background in computation 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 in the intensive care unit, and clinical reasoning models. 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, 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 part of the Cardiovascular Research 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 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
Please email a CV and cover letter to Nicholas Houstis, MD, PhD: houstislab@mgb.org

Additional Job Details (if applicable)

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.

Remote Type

Onsite

Work Location

60 Blossom Street

Scheduled Weekly Hours

40

Employee Type

Regular

Work Shift

Day (United States of America)

EEO Statement:

Massachusetts General Physicians Organization, Inc. is an Equal Opportunity Employer. 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. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

Mass General Brigham Competency Framework

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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.