• Computational Biologist, Center for Cancer Precision Medicine

    Location US-MA-Boston
    Job Posted Date 3 months ago(7/30/2019 4:43 PM)
    Job ID
    2018-12212
    Category
    IT/Health IT/Informatics
    Type
    full time
    Grade
    22
  • Overview

    Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

     

    The Dana-Farber Cancer Institute seeks a Computational Biologist, under the Center for Cancer Precision Medicine to work as a data scientist on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts for precision cancer medicine. 

     

    The Center for Cancer Precision Medicine brings together expertise and resources in state-of-the-art capabilities including DNA sequencing and other tumor molecular profiling technologies, pathology, radiology, surgery, computational interpretation, and new tumor model system; and reinforces the joint commitment to pursue advances in cancer genetics to improve patient care. 

     

    Responsibilities

    The Computational Biologist will develop and support data processing and analysis tools, create new algorithms for emerging clinically focused needs with an emphasis on single cell analysis, maintain datasets and databases, integrate tools and databases into existing high-throughput pipelines, and facilitate the display and the distribution of processed data. 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.

     

    • Generation of tools needed for manipulating and preparing data for display
    • Transferring data to external collaborators and data repositories
    • Maintain, support, and document shared tools, code base, and data sets

     

    Related projects will include:

    • Studies of cancer immunotherapies to develop predictors of response
    • Studies of patient samples for tumor behavior and clinical outcomes
    • Single cell analysis of tumor samples
    • Studies of resistance to existing and emerging cancer therapies using patient-derived data

    These projects are collaborative efforts between the Dana-Farber Cancer Institute, the Broad Institute, and various others.  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. This 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.

     

     

    ADDITIONAL RESPONSIBILITIES:

    This position will provide the opportunity to co-mentor students joining the group as described above, with opportunities for growth in developing multi-disciplinary teams that are project oriented.

     

     

    Qualifications

    • Bachelor's or Master's degree in relevant area such as bioinformatics, mathematics, physical science or computer science
    • Experience in R and/or Python; experience with cloud computing preferred 
    • Oncology/cancer biology experience a plus 
    • A strong background in statistics and biology preferred
    • Experience managing and curating large datasets and with machine learning techniques a plus
    • 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.
    • Ability to effectively collaborate across a range of individuals with different comfort toward computational biology, including oral and written communication skills
    • Ability to seek out mentorship and assistance as needed, while also being a mentor to other members of the community.

    Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.

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