[Next-Generation Sequencing Book]
  • [Photo] Ruijiang Li • July 22, 2015

    BACKGROUND

    We are looking for a highly motivated postdoctoral scholar at Stanford University School of Medicine, within the Department of Radiation Oncology. Our lab is focused on developing biomarkers for diagnosis, prognosis, and prediction of therapy response 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 very interested in the integrated analysis of imaging and genomic data in cancer, with the goals of discovering fundamental genotype-phenotype connections and transforming clinical care through translational research. For more information about our research, please visit http://med.stanford.edu/lilab

    RESPONSIBILITIES

    Develop and clinically validate new computational algorithms and statistical approaches that integrate diverse types of high-throughput imaging and genomic data.

    REQUIREMENTS

    • Ph.D. in bioinformatics, computational biology, or a related field such as biomedical engineering, electrical engineering, computer science, and physics,
    • At least 3 years of relevant experience in bioinformatics with technical expertise
    • Knowledge (and preferably prior experience) in cancer genomics and molecular biology
    • Strong programming skills

    TERMS

    1 year and renewable depending on performance.

    LOCALE

    Stanford, CA

    COMPENSATION

    Negotiable

    HOW TO APPLY

    Please send CV, brief statement of interest and career goals, and the names and contact information of 3 referees to:

    Ruijiang Li, PhD, DABR
    Assistant Professor
    Department of Radiation Oncology
    Stanford University
    Email: rli2[at]stanford.edu

    DEADLINE

    Open until filled

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