What are the responsibilities and job description for the Postdoctoral Research Fellow position at Massachusetts General Hospital?
Postdoctoral Research Fellow
Cardiovascular / Critical Care Machine Learning and Data Science
A postdoctoral research fellow position is available in the areas of cardiovascular and critical care machine learning and data science in the laboratory of Dr. Aaron Aguirre at the Massachusetts General Hospital (MGH). The laboratory is located at the MGH Wellman Center and the Cardiology Division, where the team applies expertise from medicine and engineering to develop new diagnostic and therapeutic technologies. A research fellow is being recruited to lead projects on the development of novel algorithms utilizing deep learning and advanced signal processing applied to multimodal data streams from the intensive care units (ICUs) at MGH. The work will take advantage of a massive and unique database for critical care machine learning from tens of thousands of MGH patients. This database contains millions of hours of high-resolution waveforms, including electrocardiogram (ECG), photoplethysmography (PPG) and blood pressure waveforms. These biosignals can be correlated as desirable with standard electronic health record data, clinical outcomes and other available hospital measurements and metrics (e.g. lab values). The laboratory has a particular interest in the conditions of circulatory shock, decompensated heart failure, cardiac arrest, and sepsis, and in the use of mechanical circulatory support technologies. The work is highly interdisciplinary and strongly collaborative between disparate fields, with physicians, mathematicians, physicists and engineers all working together to solve real-world clinical problems. There is a high priority emphasis on developing solutions that can be translated to clinical use, both through deployment and validation in clinical trials and through direct commercialization of new technologies. The ultimate goal is to change medical practice and improve patient outcomes.
We seek motivated and creative individuals with a Ph.D. or M.D./Ph.D. degree in engineering, physics, computer science, math, or another relevant computational field and an interest in studying cardiovascular diseases. Expertise and proficiency in deep learning and data analytics (preferably Python) and in biomedical signal processing and data acquisition are highly desirable. A clinical or medical background is NOT necessary, but natural curiosity and willingness to explore and learn is essential. The candidate should have good written and oral communication skills and enjoy working in a collaborative, multidisciplinary and open-minded environment. The principal investigator places a high priority on mentoring and career development for lab members, and the lab offers great preparation for careers in academia, the healthcare or tech industry, and in clinical medicine.
The laboratory is based on the main hospital campus of MGH. MGH is home to the largest hospital-based research program in the United States and is a teaching affiliate of Harvard Medical School. MGH is an Equal Opportunity Employer.
Interested candidates should send a resume or CV, a brief paragraph description of background and interests, and contact information for two references to Aaron Aguirre, MD, PhD, at aguirrelab@mgb.org
