At Mass General Brigham, we know it takes a surprising range of talented professionals to advance our mission—from doctors, nurses, business people and tech experts, to dedicated researchers and systems analysts. As a not-for-profit organization, Mass General Brigham is committed to supporting patient care, research, teaching, and service to the community. We place great value on being a diverse, equitable and inclusive organization as we aim to reflect the diversity of the patients we serve.
At Mass General Brigham, we believe a diverse set of backgrounds and lived experiences makes us stronger by challenging our assumptions with new perspectives that can drive revolutionary discoveries in medical innovations in research and patient care. Therefore, we invite and welcome applicants from traditionally underrepresented groups in healthcare — people of color, people with disabilities, LGBTQ community, and/or gender expansive, first and second-generation immigrants, veterans, and people from different socioeconomic backgrounds – to apply.
Job Summary
We are seeking a computational scientist to address a range of questions in cardiovascular medicine. Topics of interest to the lab include risk prediction modeling for cardiac diseases such as cardiac arrhythmias and sudden cardiac death, natural language processing to detect and classify the presence of disease, and prospective implementation of validated models to guide clinical care. Applicants will be supervised by Dr. Shaan Khurshid of the Cardiovascular Research Center (CVRC) and will also have an affiliation with the Broad Institute of MIT and Harvard with the opportunity to collaborate with the Machine Learning for Health group, in which Dr. Khurshid is a clinical investigator (https://www.broadinstitute.org/ml4h).Projects will involve the use of clinical data, including both structured (e.g., electronic health records) and unstructured (e.g., electrocardiogram waveforms, imaging data, free text notes) data. 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 in clinical machine learning. For analysis, we expect the applicant to take advantage of the wealth of state-of-the-art computational tools currently available, including a rich codebase, previously validated general-purpose deep learning models, and robust cloud computing infrastructure.
A candidate’s experience in the lab could lead in a number of future directions, including academia, clinical medicine, or the healthcare industry. 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 Corrigan Minehan Heart Center of MGH and are active members of the greater Boston science community including the Broad Institute, MIT and Harvard.
Qualifications
A BS or graduate degree in computer science, engineering, mathematics, physics, or biology. Expectations and mentorship will be tailored to the applicant’s training.3 years of experience in the analysis of clinical data preferred.Mature coding skills: Python, Julia, or R (Python preferred).Proficiency with Machine Learning and/or System Modeling.Experience in scientific machine learning, artificial intelligence, and natural language processing is highly desired.
Additional Job Details (if applicable)
Remote Type
Hybrid
Work Location
185 Cambridge Street
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
EEO Statement:
The General Hospital Corporation 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.
Mass General Brigham Competency Framework
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.