Postdoctoral Scholar – AI in Pathology and Precision Oncology

Wednesday 2nd June 2021

Organization: Stanford University

Location: Stanford, CA

Title: Postdoctoral Scholar – AI in Pathology and Precision Oncology


Email Address:


We are recruiting a highly motivated postdoctoral scholar at Stanford University School of Medicine. Major focus of the Li Lab is to develop imaging biomarkers for diagnosis, prediction of treatment response and prognosis for precision cancer medicine. Recent work from the lab has appeared in high-impact journals such as JAMA Oncology, Lancet Digital Health, Nature Machine Intelligence, Nature Communications, Annals of Oncology, Annals of Surgery, Clinical Cancer Research, Radiology, etc. The lab is funded by 3 active NIH R01 grants. Please visit

The project involves the development and application of machine learning and deep learning approaches for single-cell analysis of histopathology images, including H&E, immunohistochemistry, and multiplex immunofluorescence. This information will be integrated with genomics and transcriptomics data to predict immunotherapy response and patient outcomes. We work with a multidisciplinary expert team of surgeons, pathologists, and oncologists. This project is a collaboration with the Max Diehn Lab at Stanford.

Candidates from a diverse background are encouraged to apply. The applicant may hold a PhD either in physical sciences/engineering with a strong interest in translational research and motivation to solve biomedical problems, or a PhD in biomedical sciences with a strong interest to apply AI and machine learning approaches. The ideal candidates will have strong analytic and computational skills, as well as prior experience in pathology image analysis.

Postdocs and students in the lab have gone on to establish their own independent labs in academia or secure jobs in technology industry. One of the lab trainees joined the MD Anderson Cancer Center as a tenure-track assistant professor. 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.

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.

Interested applicants should send a research statement, CV, and names of three references to: Ruijiang Li, PhD