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, prognostication, and prediction of therapy response. Our work has been published in JAMA Oncology, Annals of Oncology, Annals of Surgery, JCI Insight, Clinical Cancer Research, etc. The lab is generously funded by 3 active NIH R01 grants. Please visit med.stanford.edu/lilab
The project involves the analysis and integration of high-throughput molecular data including single-cell genomics, epigenomics, transcriptomics, and application of machine learning methods to develop diagnostic, prognostic, and predictive biomarkers for precision oncology. Through close collaboration with clinicians at Stanford and beyond, we have access to high-quality, well-annotated clinical specimens to support our biomarker research.
I am dedicated to cultivating and mentoring the next generation scientists in biomedical research. Postdocs and students in the lab have gone on to establish independent labs in academia or secure jobs in technology industry. Major awards to postdoc trainees include ASTRO Resident Clinical/Basic Science Research Award, ASTRO Basic/Translational Science Award. One of my postdocs received the prestigious NIH K99/R00 Pathway to Independence Award, which provides $1,000,000 over 5 years to establish an independent research program. He will soon join MD Anderson Cancer Center 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.
Candidates from a diverse background are encouraged to apply. The applicant may hold a PhD either in physical sciences or engineering with a strong motivation to solve biomedical problems, or in biomedical sciences with a strong interest to apply computational approaches. The ideal candidates will have strong analytic and computational skills, as well as prior experience in cancer research.
Interested applicants should send a research statement, CV, and names of three references to:
Ruijiang Li, PhD