• Computational Biologist, Center for Immuno-Oncology

    Location US-MA-Boston
    Job Posted Date 3 months ago(8/27/2019 4:08 PM)
    Job ID
    IT/Health IT/Informatics
    full time
    Location : Address
    450 Brookline Ave
    Location : City
  • 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 Department of Data Sciences is currently seeking a Computational Biologist to participate and collaborate in processing a variety of immuno-oncology assays, integrating clinical data, and ensuring rapid computational analysis for co-author publications. Additionally, the Computational Biologist will be responsible for liaising and assisting faculty, research staff, and other stakeholders in the collection, management, analysis and interpretation of biological data, with a focus on the analysis of data from genomic, transcriptomic, or proteomic studies.


    As a member of the Dana-Farber Department of Data Sciences  you will be affiliated with the CIO Computational Biology Group. In addition to working with PIs, clinicians, scientists at the CIO, including CIO Director, Dr. F Stephen Hodi, you will also be collaborating with Prof. X Shirley Liu and the cBio Center at Dana-Farber, on the NIH-funded CIMAC and CIDC consortium (https://cimac-network.org/).


    The Center for Immuno-Oncology (CIO) at the Dana-Farber Cancer Institute is a multi-disciplinary group dedicated to the discovery, development, and first-in-human clinical trials of novel immunotherapies. The CIO utilizes cutting-edge technologies such as high-throughput RNA and DNA sequencing, mass cytometry (CyTOF), immunofluorescence imaging, and advanced bioinformatics methodologies and analysis.


    • Analyze and interpret high-throughput clinical DNA and RNA sequencing data, with a specific focus on immunological characterization.
    • Interprets complex biological information. Performs tasks to reduce and consolidate output from software.
    • Prepares data for utilization by other scientists.
    • Monitors new data from public databases, finds and loads missed data, cleans loaded data to satisfy quality control criteria.
    • Must be able to query various sources for the information needed (e.g. the Web, publications, internal DFCI resources).
    • Directs and guides DNA, RNA and protein sequence database searches and computational analysis of resulting data.
    • Implements end-users needs in database searching and integration.
    • Excellent verbal/written communication skills and willingness to collaborate cross-departmentally.
    • Contribute to collaborative projects and co-author publications.
    • Communicate new findings in a translational research environment strongly focused on discovery and development of novel immunotherapies to improve patient care


    • MS with professional experience or PhD level candidate preferred
    • Applied professional experience in oncology, immunology, or life sciences required.
    • Experience with biostatistics analysis packages and well documented analysis required.
    • Ability to write high-quality analysis code and read/review code in R and/or python required.
    • Full-stack development skill would be a significant plus.
    • Excellent verbal/written communication skills and willingness to collaborate cross-departmentally required.
    • Familiar with the design and execution of the analysis of RNA-seq and DNA-seq (WES and WGS) pipeline from FASTQs to processed results preferred.
    • Experiences with CyTOF, IHC, or mIF would be a significant plus.
    • Record of academic publications or contributions to open-source software is highly encouraged.

    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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