Postdoctoral Scholar in Pathology Image Analysis for Precision Cancer Medicine

Thursday 30th April 2020

The Ruijiang Li lab at Stanford University School of Medicine is looking for a highly motivated postdoctoral scholar. The major focus of the lab is to develop imaging biomarkers and molecular diagnostics for early cancer detection as well as prediction of therapy response and outcomes. Our work has been published in top clinical journals including JAMA Oncology, Annals of Oncology, Annals of Surgery, JCI Insight, Clinical Cancer Research, Radiology, etc. The lab is generously funded by 3 active NIH R01 grants. Please visit http://med.stanford.edu/lilab


The project involves the analysis and integration of high-dimensional histopathology imaging data with high-throughput molecular data (spatial transcriptomics) at single-cell level. This information will be used to predict treatment response and patient outcomes. The goal is to develop novel diagnostic, prognostic, and predictive biomarkers for precision oncology. We closely work with a multidisciplinary expert team of 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 pathology 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 Resident Clinical/Basic Science Research Award, ASTRO Basic/Translational Science Award, as well as the prestigious NIH K99/R00 Pathway to Independence Award, which provides $1,000,000 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.

Interested applicants should send a research statement, CV, and names of three references to:
Ruijiang Li, PhD DABR
Email: rli2@stanford.edu

Organization Stanford University
Location Stanford, CA
Title Postdoctoral Scholar in Pathology Image Analysis 
URL http://med.stanford.edu/lilab
Email Address rli2@stanford.edu