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    Opportunity: Senior Bioinformatician for Systems Biology Group -- Division of Genetics @ Brigham and Women's Hospital -- Boston, MA (US)
    Submitted by Soumya Raychaudhuri; posted on Wednesday, May 02, 2018

    BACKGROUND

    This position will work with the NIH funded Accelerating Medicines Partnership (AMP), a public-private partnership between the National Institutes of Health (NIH), the U.S. Food and Drug Administration (FDA), 10 biopharmaceutical companies and multiple non-profit organizations. The ultimate goal is to increase the number of new diagnostics and therapies for patients and reduce the time and cost of development. This network will focus specifically on autoimmune disease using techniques in human genetics, bioinformatics, and systems biology. This position will be with the network's Systems Biology Group (SBG), which will analyze the high-dimensional genomics data.

    The senior bioinformatician will work closely with Dr. Soumya Raychaudhuri and will manage the data for the AMP-RA/SLE network, the hardware resources of the Systems Biology Group, and will also maintain the key pipelines for bulk RNA-seq, single cell RNA-seq, and mass cytometry data. S/he will also contribute to the development of novel pipelines, and to devising analytical strategies for interpreting multiple modalities of data. S/he will work closely with the ImmPort database and each of the research sites, which will send data, to insure appropriate data processing, dissemination, and access to the SBG hardware resources.

    RESPONSIBILITIES

    1. Develop and use novel computational pipelines for analysis of research data.
    2. Develop analytical strategies for interpreting multiple modalities of data.
    3. Contribute to the ongoing design and development of the software technology, algorithms, and databases for big-data analysis and storage.
    4. Oversee data processing, dissemination, and access to the SBG hardware resources.
    5. Provide statistical applications support and programming primarily in SAS to include:
    a. Designing and developing program applications
    b. Designing, implementing, and testing project wide programs in SAS and other high-level programming languages for data management and statistical analysis
    c. Providing programming in statistical packages and other software as required
    d. Providing statistical and methodological consultation
    6. Writes UNIX and Perl scripts and SAS programs
    7. In collaboration with PI or Research Manager, establishes new and modifies existing research
    8. All other duties as assigned

    REQUIREMENTS

    1. Education: MSc or PhD degree in appropriate technical, scientific, or engineering discipline and at least 2 years experience in bioinformatics
    2. Strong programming skills capable of conceiving, of implementing and optimizing programs operating on large data sets
    3. Unix environment experience; experience with large data sets, database software experience
    4. Proficiency in a programming language, such as Java, C/C++, perl, or python and one or more mathematical software package/languages such as R or MATLAB, GAUSS, S-PLUS
    5. Ability to work with next-generation sequencing data, particularly in the context of RNA-seq data
    6. Mathematics background; advanced data management and analysis skills
    7. Expertise working with version control systems

    PREFERENCES

    • Expertise in machine learning and statistical modeling
    • Advanced knowledge of biostatistics and statistical programming
    • Formal knowledge in Biology in general; genetics in particular

    TERMS

    Full Time Position

    LOCALE

    Primary Location: MA-Boston-BWH Longwood Medical Area

    COMPENSATION

    Commensurate with Experience

    HOW TO APPLY

    Please send CV and cover letter to Project Manager, Dennis Guevara (dguevara[at]bwh.harvard.edu).

    POLICY

    EEO Statement:
    Brigham and Women's Hospital is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, sexual orientation, protected veteran status, or on the basis of disability.

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