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    Opportunity: COMPUTATIONAL BIOLOGIST (#657) @ Broad Institute--Cambridge, MA (US)
    Submitted by Laura Bonfitto; posted on Saturday, February 25, 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 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.

    The CCLE project is a collaboration between the Broad Institute, the Novartis Institutes of Biomedical Research (NIBR), and the Genomic Institute of the Novartis Foundation (GNF). The goals of this initiative consist of a detailed genetic and pharmacologic characterization of a large panel of human cancer models (~1000 human cancer cell lines) and development of clinically relevant computational analyses that link distinct pharmacologic vulnerabilities to genomic patterns. More recently, the goals of this project have expanded to include the deeper characterization of the cell lines collection at a genomic level, and generation of epigenomic, metabolomic and proteomic data (e.g. phospho-protein profiling). These new data could help both identifying features through predictive modeling that can serve as new biomarkers for rational drug development, and allow new insights into tumor biology through innovative analyses.

    The person hired for this position will join the team in this effort, and will participate in the design and implementation of algorithms to analyze the data and integrate with other data sets including pharmacologic data. 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 will also help maintain, support, and document shared tools, code base, and data sets. As the software infrastructure evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems, to becoming more involved in the bioinformatic and analytic aspects of predictive modeling.


    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 biology. Experience managing an curating large datasets and with machine learning techniques desired. Excellent oral and written communication skills and the ability to perform both self-directed and guided research are required. Must demonstrate outstanding personal initiative and the ability to work effectively as part of a team. Ability to meet deadlines and efficiently multitask is a must.


    Cambridge, MA


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