| Investigator / Platform | Research Area | Position |
|---|---|---|
| Higgins, John | Mechanistic and Machine Learning Modeling of Human Disease Processes using Clinical Laboratory and Medical Record Data | Postdoctoral Research Fellow |
| Training Faculty | Cancer research through innovative systems approaches | T32 Postdoctoral fellow |
Position: Postdoctoral Research Fellow
Research Area: Mechanistic and Machine Learning Modeling of Human Disease Processes using Clinical Laboratory and Medical Record Data
Full/Part Time: Full Time
Investigator: Higgins, John
Date Posted: 2025-09-29
Description: A post-graduate research position is available in the laboratory of John Higgins located in the Massachusetts General Hospital Center for Systems Biology and Department of Pathology and the Harvard Medical School Department of Systems Biology. The research group seeks to understand the fundamental dynamic processes that maintain healthy states in fluctuating environments and respond to perturbations from acute and chronic disease. The group develops mathematical and computational models with input variables drawn from routine clinical test results and medical records, as well as vast amounts of additional data routinely collected by clinical laboratory instruments but rarely modeled. Models enable new understanding of physiologic robustness and vulnerability. Because model input variables are already regularly measured in clinical laboratories worldwide, the path to clinical translation is short, and a high priority is to use the models to provide earlier and more accurate diagnosis, and optimization of treatment programs personalized for each patient.
Requirements: Qualified applicants will have expertise in mathematical modeling, dynamical systems, statistical inference, machine learning, and computational methods. Qualified applicants will also have either existing expertise in human pathophysiology or be committed to spending several months or more immersed in the study of relevant areas of biology, pathophysiology, as well as clinical medicine. Familiarity with good software engineering practices or willingness to learn them is also important. Applicants must have a Ph.D. and/or M.D. degree or be in the final year of their doctoral studies, and have at least a strong undergraduate background in math, computer science, or engineering.
Position: T32 Postdoctoral fellow
Research Area: Cancer research through innovative systems approaches
Full/Part Time: Full Time
Group: Training Faculty
Date Posted: 2023-12-04
Description: With our current faculty of 34 mentors, enhanced facilities, scope of supported research and past accomplishments, we offer an outstanding research environment for the next generation of clinicians and scientists to be trained in molecular imaging and systems analysis.
Requirements: These positions are restricted to US citizens and/or permanent residents.