Computational Biology Research Fellow
Dana-Farber Cancer Institute
 Boston, MA






  • Computational Biology Research Fellow




    Location

    US-MA-Boston



    Job Posted Date

    5 months ago(5/1/2019 9:40 AM)





    Job ID

    2019-15185


    Category

    Fellowships


    Type

    full time


    Grade

    41









  • 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.







    Responsibilities




    The Dana-Farber Cancer Institute seeks a POSTDOCTORAL COMPUTATIONAL BIOLOGIST FELLOW, under the Liu lab (https://connects.catalyst.harvard.edu/Profiles/display/Person/131167) and the Center for Population Sciences (https://www.dana-farber.org/research/departments-centers-and-labs/integrative-research-centers/mcgraw-patterson-center-for-population-sciences/) 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 and immuno-oncology.  Specifically, the qualified candidate will create new algorithms for dissecting tumor and immune features in patients receiving immunotherapies, along with the clinical integration of somatic and germline sequencing to enable new discoveries in these patient populations. The candidate will also integrate tools and databases into existing high-throughput pipelines, and facilitate the display and the distribution of processed data.



    These projects include:


    • Prospective clinical sequencing to guide the care of cancer patients

    • Studies of drivers of differential immunotherapy treatment response integrating genomic, transcriptomic, and clinical data

    • Studies of tumor evolution and heterogeneity, drivers of metastasis and resistance, from longitudinal patient samples.

    These projects are collaborative efforts between the Dana-Farber Cancer Institute, the Broad Institute, and multiple other institutions.  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 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 clinical outcomes 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.







    Qualifications




    Requirements:    A Ph.D. in bioinformatics, genetics, immunology, 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 and 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.



    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.







    Connect With Us!




    Not ready to apply? Connect with us for general consideration.