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Open Postdoctoral position, faculty mentor Ruijiang Li

Important Info

Faculty Sponsor (Last, First Name): 
Li, Ruijiang
Stanford Departments and Centers: 
Radiation Oncology
Postdoc Appointment Term: 
1 year, renewable up to 4 years
Appointment Start Date: 
ASAP
How to Submit Application Materials: 

Please send an email to rli2@stanford.edu

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, Radiology, etc.  The lab is generously funded by 3 active NIH R01 grants.
 
The project involves the integration of high-throughput molecular data in large patient populations and application of statistical and machine learning methods to develop diagnostic, prognostic, and/or 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.
 
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 my postdoc trainees include ASTRO Resident Clinical/Basic Science Research Award, ASTRO Basic/Translational Science Award. One of my postdocs Jia Wu received the prestigious NIH K99/R00 Pathway to Independence Award from the NCI, 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.

Required Qualifications: 
  • 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 research experience in cancer genomics, epigenomics, transcriptomics, or multi-omic data integration. Basic knowledge in molecular biology or tumor immunology is helpful.
Required Application Materials: 
  • Research statement
  • CV
  • Names of three references

 

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.