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    Opportunity: COMPUTATIONAL BIOLOGIST (#816) @ 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 the Cancer Cell Line Encyclopedia (CCLE) project. This is a unique opportunity to make key contributions in the development of new tools for emerging areas of tumor biology. The qualified candidate will explore new analytical algorithms for gleaning biological insights from large-scale data sets, develop and support data processing and analysis tools, assist in the maintenance of evolving datasets and databases, integrate tools and databases into existing high-throughput pipelines, and facilitate the display and the distribution of processed data.

    The CCLE project represents a collaboration between the Broad Institute and the Novartis Institutes of Biomedical Research (NIBR). The goals of this initiative consist of a detailed genetic, molecular, and pharmacologic characterization of a large panel of human cancer models (~1000 human cancer cell lines), development of clinically relevant computational analyses that link distinct tumor vulnerabilities to molecular patterns, and discovery of novel tumor cell biology through integrative analyses of large-scale tumor and cell line data sets. Recently, the goals of this project have expanded to include comprehensive characterization of the cell lines collection at a genomic level (e.g., whole exome, whole genome, and/or transcriptome sequencing), and the generation of epigenomic, metabolomic and proteomic data (e.g. phospho-protein profiling). These new data sets may augment ongoing predictive modeling efforts that may yield new biomarkers for rational drug development, while also allowing many new insights into tumor biology through innovative analyses.

    The successful candidate(s) will be highly organized, motivated, and able to thrive in a fast-paced team science environment. He or she must be adept at multi-tasking in a matrixed, high performance environment, and be able to evaluate data critically, prioritize options, and execute on tasks while anticipating challenges. Experience in large-scale genomics projects is a plus. This person will also help with the generation of tools needed for manipulating and preparing data for display; transferring data to external collaborators and data repositories; and help maintain, support, and document shared tools, code base, and data sets.


    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. Prior experience in statistics and cancer biology/genetics is strongly preferred. Familiarity with the management of 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 crucial. The applicant must also demonstrate outstanding personal initiative and the ability to work effectively as part of a team. Ability to meet deadlines and multitask efficiently is a must.


    Cambridge, MA


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