Post-doctoral training: Medical AI & Machine Learning

United States
Job Posted Date: 
June 29, 2020
Full-time Positions
Postdoc Positions
Postdoc Positions at UCSF

Post-doctoral training position in the lab of Dr. Geoff Tison, MD MPH, focusing specifically on applying artificial intelligence/machine learning methods to medical data for disease phenotyping and prevention.

Post-doctoral (and also part-time positions available), minimum 1 year.

Dr. Tison, MD, MPH is a Cardiologist and Assistant Professor at the University of California, San Francisco (UCSF). His research focuses on cardiovascular prevention, using statistical and machine learning methods to analyze large-scale health data for disease prevention and phenotyping. He obtained formal training in machine learning, statistics, epidemiology and clinical research during his tenure at Johns Hopkins and as a National Institutes of Health T32 scholar. Dr. Tison received MD and MPH degrees from the Johns Hopkins Schools of Medicine and Public Health, completed internal medicine training at the Johns Hopkins Hospital, and fellowships in cardiology, advanced echocardiography and preventive cardiology at UCSF.

Job Requirements: 

Demonstrated fluency in Python programming. Fluency with standard machine learning packages and frameworks including scikit-learn, tensorflow, pandas, keras, Pytorch.

How to Apply: 

Please apply by filling out the following information and we will contact you shortly:

San Francisco
Greater Bay Area