Job Description

Site: The General Hospital Corporation 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 Interested individuals should provide a CV and a cover letter describing past research experience, future research interests, career goals, and contact information for three references to Dr. John Higgins, Higgins.John@mgh.harvard.edu. A post-graduate research position is available in the laboratory of John Higgins, MD, located in the Massachusetts General Hospital Center for Systems Biology and Department of Pathology and the Harvard Medical School Department of Systems Biology. Qualified applicants will have extensive knowledge of and interest in human pathophysiology and mathematical modeling including dynamical systems, machine learning, statistical inference, computational methods, and good software engineering practices. For example, strong candidates would be able to compare and contrast the following: hemostasis and thrombosis, ODE and PDE, lymphocyte and myelocyte, transformer and convolutional block. Qualifications The following skills and experience are required: Experience simulating PDEs and working with neural networks in MATLAB or Python. Knowledge of human physiology and pathology such as hematologic function, immunology, inflammatory responses, and pregnancy. Experience deriving mathematical models from biological data. Ability to work independently and mentor more junior group members. This position is most well-suited for a candidate who has recently completed undergraduate studies and is considering applying to graduate school. Applicants should have a Ph.D. and/or M.D. degree or be in their final year of their doctoral studies, and have at least a strong undergraduate background in math, computer science, or engineering. Interested individuals should provide a CV and a cover letter describing past research experience, future research interests, career goals, and contact information for three references to Dr. John Higgins, Higgins.John@mgh.harvard.edu. Additional Job Details (if applicable) Remote Type Onsite 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 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 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. #J-18808-Ljbffr Mass General Brigham

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