• [Photo] Alejandro Sweet-Cordero July 18, 2015

    BACKGROUND

    The Department of Pediatrics at Stanford University School of Medicine seeks a full time computational biologist with expertise in analysis of next-generation sequencing data of cancer to participate in a large clinical cancer genomics effort. The successful applicant will conduct computational and statistical analysis to facilitate biomedical research that uses high-throughput techniques to identify mutations and other alterations in pediatric cancers. Technologies to be employed include whole genome sequencing (WGS), exome sequencing, RNAseq and similar related sequencing approaches. The focus of our studies is the comparison of germline and tumor genomes in order to define individualized therapies for pediatric cancer patients. Opportunities to interact with the wider scientific and computational biology community at Stanford will be available.

    RESPONSIBILITIES

    Develop pipelines for rapid processing of NGS data from pediatric cancer patients. Develop novel algorithms for comparing individual patient data to large datasets in collaboration with other investigators at Stanford and beyond.

    REQUIREMENTS

    • Ph.D. degree in bioinformatics, computational biology, molecular biology, genetics, biostatistics, or related field with at least three years of relevant experience. While PhD is preferred, applicants with Master's degree and significant (>2 years) experience will be considered.
    • Strong background in bioinformatics with technical expertise in genetics and molecular biology
    • Strong knowledge of at least one general programming language (such as Java, Python)
    • Experience within a UNIX/Linux high-performance computing or Cloud environment
    • Deep knowledge in scientific software development and large scale data analysis
    • Prior experience with analysis of next-generation sequencing data (DNA and RNA), file formats, and data quality
    • Demonstrated ability to work with biologists to apply computational approaches to their experiments as well as the ability to help them develop their own bioinformatics skills
    • Good communication and team skills and fluency in both spoken and written English
    • Ability to multitask
    • Laboratory experience with genomics laboratory techniques, next-generation sequencing instruments and protocols
    • Experience with relational databases and web application development
    • Experience in next-generation sequencing analysis of cancer genomes (somatic variant detection, copy number analysis, purity determination, clonal subsets, etc...)
    • Experience with statistical modeling and visualization in R
    • Experience with novel algorithm development
    • Experience with system administration of UNIX/Linux systems
    • Experience developing automated data analysis pipelines
    • Basic knowledge of software engineering best-practices
    • Willingness to work in a fast paced environment that includes rapid turnaround of clinical samples

    PREFERENCES

    See full job description

    TERMS

    Negotiable

    LOCALE

    Stanford University Medical Center, Stanford, CA

    COMPENSATION

    Negotiable

    HOW TO APPLY

    Please visit http://stanfordcareers.stanford.edu/job-search

    Job #67533

    DEADLINE

    None

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