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    Opportunity: COMPUTATIONAL BIOLOGIST (#815) @ Broad Institute--Cambridge, MA (US)
    Submitted by Laura Bonfitto; posted on Monday, July 23, 2012


    The Broad Institute seeks a COMPUTATIONAL BIOLOGIST, under the Cancer Program (Garraway lab) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts for personalized medicine. The qualified candidate will develop and support data processing and analysis tools, maintain datasets and databases, integrate tools and databases into existing high-throughput pipelines, and facilitate the display and the distribution of processed data.

    These projects are collaborative efforts the Broad Institute, the Dana-Farber Cancer Institute, and outside collaborative institutions, and include:
    • Prospective clinical sequencing to guide the care of cancer patients
    • Genomics-based studies of resistance to targeted therapies
    • Linking genomic features with tumor behavior and clinical outcomes
    The goals of this initiative consist of analyzing sequencing data to determine the effects of genomic alterations and expression changes on clinical behavior, both retrospectively and prospectively. These new data could help identify novel approaches for personalized care in oncology. In addition, this data may provide support for new methods in clinical decision-making, biomarkers for rational drug development, and new insights into tumor biology through innovative analyses.

    The successful applicant will participate in the design and implementation of algorithms to analyze clinical sequencing data (e.g., whole-exome and/or transcriptome data from cancer patients enrolled in clinical trials) and integrate this data with other data sets, including clinical outcomes data. This person will also help to develop tools needed for manipulating and preparing clinical genomic data for display; transferring data to external collaborators and data repositories; and will help to maintain, support, and document shared tools, code base, and data sets. As the software infrastructure evolves, this position will likely encounter expanded, flexible opportunities ranging from deeper and more complex software design problems to becoming more involved in the bioinformatics and analytic aspects of predictive modeling (e.g., identifying tumors whose diverse molecular features predict response or resistance to anticancer agents).


    A Ph.D. in bioinformatics, mathematical, physical, or computer science, or comparable research experience, together with significant experience in computer programming and computational biological applications. A strong background in statistics and cancer biology/genetics is preferred. Experience managing and curating large datasets and with machine learning techniques is desired. Excellent oral and written communication skills and the ability to perform both self-directed and guided research are required. High-priority applicants must demonstrate outstanding personal initiative, the ability to work effectively as part of a team, an ability to meet deadlines and to multitask efficiently.


    Cambridge, MA


    Please visit[...]enter and search for job 815.

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