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BACKGROUND

We are looking for a highly motivated postdoctoral scholar at Stanford University School of Medicine. The major focus of the lab is to develop molecular and imaging biomarkers to predict treatment response and outcome, which can be used to guide therapeutic decisions for personalized cancer therapy. These biomarkers will also help elucidate the underlying mechanisms of tumor progression and inform potential therapeutic targets, ultimately leading to new drugs and improved outcomes for cancer patients. We are currently conducting systematic cancer biomarker discovery and validation studies through integration of high-throughput molecular data from large patient populations and development of novel statistical and machine learning methods. Our work has been published in top-tier journals such as JAMA Oncology, Clinical Cancer Research, Radiology, etc. Our lab has been continuously and generously funded by the NIH. For more information, please visit http://med.stanford.edu/lilab

REQUIREMENTS

We encourage candidates from a diverse background 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 project involves the integration of diverse types of high-throughput molecular data for developing diagnostic, prognostic, and/or predictive biomarkers for precision oncology. The ideal candidates will have strong analytic and programming skills, as well as prior research experience in cancer genomics, epigenomics, or transcriptomics. Knowledge in molecular biology and tumor immunology, or experience with single-cell gene expression analysis, multi-omic data integration and/or network analysis is strongly preferred.

TERMS

1 year and possibility to renew.

LOCALE

Stanford, CA

COMPENSATION

We are dedicated to cultivating and mentoring the next generation scientists in biomedical 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 our postdoc trainees include the prestigious NIH K99/R00 Pathway to Independence Award, ASTRO Resident Clinical/Basic Science Research Award, ASTRO Basic/Translational Science Award, and RSNA Introduction to Academic Radiology for Scientists. ASTRO and RSNA are the world's largest professional society for radiation oncologists and radiologists, respectively.

HOW TO APPLY

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

Ruijiang Li, PhD DABR
Stanford University
Email: rli2[at]stanford.edu

Discussion forums: Opportunity: Postdoctoral Scholar Position in Translational Bioinformatics/Computational Biology for Precision Cancer Medicine @ Stanford University -- Stanford, CA (US)

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