Postdoc in Medical Image Analysis & Precision Cancer Medicine (Stanford University)
Thursday 1st October 2020
We are looking for a highly motivated postdoctoral scholar at Stanford University School of Medicine. The major focus of the lab is to develop imaging biomarkers and molecular diagnostics for early cancer detection, diagnosis, prediction of therapy response and outcomes. Our work has been published in top clinical journals including JAMA Oncology, Annals of Oncology, Annals of Surgery, Clinical Cancer Research, Radiology. The lab is well funded with 3 active NIH R01 grants.
The project involves the development and application of machine learning and deep learning techniques for medical image analysis, including radiology (CT, MRI) and histopathology (H&E, multiplex florescence imaging). The goal is to discover novel diagnostic, prognostic, and predictive imaging biomarkers for precision oncology. This information can be integrated with genomics and transcriptomics data to further enhance prediction. We closely work with a multidisciplinary expert team of surgeons, radiologists, pathologists, and oncologists at Stanford.
The applicant should hold a PhD in physical sciences or engineering (including applied math, statistics) with a strong motivation to solve biomedical problems. The ideal candidates will have prior research experience in medical image analysis, machine learning expertise, and strong programming skills.
Postdocs and students in the lab have gone on to establish their own independent labs in academia or secure jobs in technology industry. Major awards to postdocs include ASTRO Clinical/Basic Science Research Award, Basic/Translational Science Award, and the prestigious NIH K99/R00 Pathway to Independence Award, which provides one million dollars over 5 years to establish an independent research program. One of my lab trainees recently joined the MD Anderson Cancer Center (No.1 cancer hospital in the US) as a tenure-track assistant professor.
Stanford University is located at the heart of Silicon Valley, epicenter of the technology revolution in biomedicine. This is an excellent opportunity not only for those motivated to pursue an academic career, but also for those interested in entrepreneurship with the goal of commercialization and translation of new technology into clinical practice.
|Title||Postdoc in Medical Image Analysis & Precision Cancer Medicine|