[Next-Generation Sequencing Book]
  • [Photo] David Lahti • June 30, 2016

    BACKGROUND

    Sage Bionetworks, is a non-profit organization located in Seattle and dedicated to advancing biomedical research through the implementation of reproducible, open science. Using cutting edge machine-learning methodologies, in collaboration with scientists around the world, we build predictive models of disease-related phenotypes through integrative analysis of large-scale genomic and imaging data sets. Sage offers a comprehensive benefits package, including relocation benefits to bring the right talent to the team.

    Sage Bionetworks is currently recruiting for a computational biologist / research scientists at multiple levels with an interest and strong background in cancer research. This position presents the opportunity to support and lead research teams focused on a diverse set of questions in cancer. Ideal candidates will have a background in pre-clinical and translational medicine, and an appreciation of efforts to incorporate `omics' data into clinical practice. We are active in a number of disease areas including immune-oncology, colorectal cancer, prostate cancer, NF1 & 2, lower grade gliomas, and large pan cancer studies.

    RESPONSIBILITIES

    • Support the interaction with external research consortia to develop bioinformatics analysis and visualizations of genomic data in collaboration with clinicians, biologists, foundations and other bioinformaticians in academia and industry.
    • Design, develop, and lead research projects, from inception to publication, in various cancer domains including:
      • Prognostic modeling of patient outcomes
      • Predictive modeling of drug response
      • Analysis of functional screen data e.g. drug response, siRNA
      • Integrative genomic modeling
    • Design and develop algorithms for interrogating and interpreting complex genomic data.
    • Work closely with Sage and DREAM scientists to develop DREAM Challenges around impactful questions in cancer research.

    REQUIREMENTS

    • Candidate will hold a Ph.D. in computer science, bioinformatics, or related quantitative discipline.
    • Strong candidates will also be considered holding Masters or Bachelors degree, with 6+ years of significant relevant work experience and strong track records of bioinformatics analysis.
    • Experience working with high dimensional genomic data, such as sequencing data, gene expression, genotype, CNV, sequence and/or data from other high throughput biological technologies
    • Demonstrated excellence in research with evidence of advancing an area of computational biology

    PREFERENCES

    • Professional software development experience, including strong programming skills in a high level language such as Python, R, or Java
    • An understanding of advanced machine learning or statistical techniques, such as probabilistic graphical models, Bayesian inference, and optimization methods
    • A passion for open-access innovation
    • Strong collaboration, teamwork, and communication skills
    • A desire to change the world and contribute to the elimination of human disease

    LOCALE

    Seattle, WA

    HOW TO APPLY

    To apply for this position, please send your CV and cover letter to: componcjobs[at]sagebase.org.

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