Research Fellow - Mechanistic and Machine Learning Modeling of Human Disease Processes with Clinical Laboratory and Medical Record Data
Research Fellow - Mechanistic and Machine Learning Modeling of Human Disease Processes with Clinical Laboratory and Medical Record Data
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Job Description
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
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.
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 .
Contact: John Higgins ( Job Details (if applicable)
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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.
