• Lead Computational Biologist, Cancer Immunologic Data Commons (CIDC)

    Location US-MA-Boston
    Job Posted Date 3 months ago(2/8/2019 4:47 PM)
    Job ID
    2018-12318
    Category
    IT/Health IT/Informatics
    Type
    full time
    Grade
    23
  • Overview

    Dana-Farber Cancer Institute (DFCI) was recently awarded a five-year grant from the National Cancer Institute (NCI) as part of the Cancer Moonshot Project to build a Cancer Immunologic Data Commons (CIDC). NCI plans to conduct comprehensive profiling of tumor, blood, and fecal samples from NCI-sponsored immuno-oncology trials at four Cancer Immune Monitoring and Analysis Centers (CIMACs: Stanford, MD Anderson, Mt Sinai, and DFCI). The CIDC is responsible for building the database infrastructure, bioinformatics pipelines, computational algorithms for the resulting profiling data and related clinical data, enabling integrated analysis across trials and sharing of all data by the larger immuno-oncology research community. The goal of the project is to enable systematic incorporation of biomarker studies in NCI-supported early immunotherapy clinical trials to better understand and predict which patients respond to certain immunotherapy treatments.


    The CIDC project currently seeks a Lead Computational Biologist for the CIDC. The Lead Computational Biologist will work closely with laboratories of DFCI, CIMAC and CIDC investigators, especially laboratories of Drs. X. Shirley Liu, Ethan Cerami, Catherine Wu, and Steve Hodi on various bioinformatics aspects of immune-profiling tools and analyses. We are looking for exceptional candidates with strong computational biology, immunogenomics, and communication skills.

    Responsibilities

    • Develop the bioinformatics analysis algorithms and pipelines for various high throughput profiling techniques
    • Maintain the computational pipelines and conduct initial processing and QC of the CIMAC profiling data
    • Conduct meta-analyses across different profiling techniques and across different immune-oncology trials.
    • Work collaboratively with the CIMACs, trial centers, and biopharmaceutical companies for biomarker discovery
    • Lead a small team of computational biologists.

    Qualifications

    • PhD degree in bioinformatics or related field, received within the last 7 years.
    • 5+ years of research / working experience in bioinformatics and genomics
    • Strong quantitative (statistics, computer science) and programming (Python & R) skills
    • Good knowledge of molecular genomics and immunology
    • Experiences with WES, RNA-seq, scRNA-seq, ATAC-seq, TCR/BCR-seq, metagenomics, CyTOF, IHC, and serum cytokine analyses.
    • Strong organizational, communication and interpersonal skills.
    • Able to work independently to resolve time-sensitive issues and balance multiple projects.
    • Able to communicate with collaborators at all levels.
    • Strong interest in contributing to translational cancer research.


    About Dana-Farber

    Located in Boston, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer 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.

     

    Equal Employment Opportunity

    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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