• Computational Biologist, Cancer Immunologic Data Commons (CIDC)

    Location US-MA-Boston
    Job Posted Date 1 week ago(8/12/2019 11:44 AM)
    Job ID
    2019-14225
    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 Shirley Liu Lab at the Dana-Farber Cancer Institute is recruiting a Computational Biologist to develop machine learning algorithms and conduct high throughput data analyses/integration to model tumor immunology and understand cancer patient response to immunotherapy to contribute to the Cancer Immunologic Data Commons (CIDC). The goal of the CIDC is to advance translational research efforts by using biomarkers to aid in the further development of cancer immunotherapy. 

    Responsibilities

    The Computational Biologist will work on various computational aspects of immune-profiling algorithms and analyses, with the goal of identifying biomarkers for optimizing immunotherapy strategies in cancer. 

     

    Cancer immunotherapies have emerged as highly promising approaches to treat cancer patients, particularly since they can be applied across different tissue and cancer types, although clinical efficacy has been limited to a subset of cancer patients. Translational studies with strong focus on biomarkers are critical to understanding the tumor-immune interface. 

     

    • Develop, apply, document, and maintain computational tools, both for own use and to support analysis by other scientists.
    • Integration of data from public databases into the group pipeline
    • Maintaining and updating the computational infrastructure within the group
    • Working collaboratively on interdisciplinary projects

    Qualifications

    • Bachelor's degree in a quantitative science such as Computer Science, Statistics, Physics or Computational Biology required
    • Experience in high throughput genomic data analyses required
    • Proficiency using Python and R 
    • Excellent organizational, communication and collaboration skills

    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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