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Opportunity: Postdoctoral Scholar Position in Bioinformatics/Cancer Genomics @ Stanford University School of Medicine
Submitted by Ruijiang Li; posted on Saturday, February 20, 2016
BACKGROUND
We are looking for a highly motivated postdoctoral scholar at Stanford University School of Medicine. Our lab is focused on developing novel biomarkers (diagnostic, prognostic, or predictive) toward precision medicine in cancer. We have significant expertise in quantitative image analysis and machine learning applied to multi-modality imaging such as PET, CT, and/or MRI. We are interested in the integrative analysis of imaging and genomic data in cancer, with the goals of discovering fundamental genotype-phenotype connections and transforming clinical care through translational research. We work closely with cancer biologists and oncologists. Our research is generously supported by multiple research grants from the NIH as well as industry.
I am dedicated to mentoring and educating the future leaders in biomedical research. Some major awards recently won by postdocs in the lab include: Resident Clinical/Basic Science Research Award (2014), Basic/Translational Science Award (2015) from the American Society of Radiation Oncologists, and Science Council Research Award (2015) from the American Association of Physicists in Medicine.
RESPONSIBILITIES
We are seeking a highly motivated individual with the desire and talent to tackle challenging technical problems in medicine. The project involves the development and/or application of computational algorithms and statistical/machine learning approaches that integrate diverse types of high-throughput molecular data, towards understanding patient specific cancer networks and their response to therapy.
REQUIREMENTS
The ideal candidate would have PhD training in bioinformatics and/or computational biology, or a related field such as biostatistics, biomedical engineering, electrical engineering, computer science, and physics. Prior knowledge and experience with cancer genomics are preferred but not required. Strong programming skills in R or MATLAB are required.
HOW TO APPLY
Interested applicants should send CV and a brief statement of research to:
Ruijiang Li, PhD, DABR
Assistant Professor
Stanford University
Email: rli2[at]stanford.edu
DEADLINE
Open until filled
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