• Computational Bio, Sr I

    Job Locations USA-NY-New York
    Posted Date 2 weeks ago(11/5/2018 5:49 PM)
    Requisition ID
    2018-25869
    Category
    Information Technology
  • Company Overview

    At Memorial Sloan Kettering (MSK), we’re not only changing the way we treat cancer, but also the way the world thinks about it. By working together and pushing forward with innovation and discovery, we’re driving excellence and improving outcomes.
     
    For the 28th year, MSK has been named a top hospital for cancer by U.S. News & World Report. We are proud to be on Becker’s Healthcare list as one of the 150 Great Places to Work in Healthcare in 2018, as well as one of Glassdoor’s Employees’ Choice Best Place to Work for 2018. We’re treating cancer, one patient at a time. Join us and make a difference every day.

    Job Description

    The mission of the Marie-Josée and Henry R. Kravis Center for Molecular Oncology (CMO) is to promote precision oncology through genomic analysis to guide the diagnosis and treatment of cancer patients. The CMO brings together clinicians and scientists throughout MSKCC to establish novel genomic methodologies and conduct large-scale translational research involving molecular characterization of patient tumor specimens in order to identify correlations between genomic features and clinical outcomes.

     

    The Berger laboratory, affiliated with the CMO, is a group of experimental and computational scientists dedicated to the characterization of genetic mutations in human tumors in order to identify biomarkers of cancer progression and drug response. Using massively parallel next-generation DNA and RNA sequencing, the lab is developing and applying methods to profile individual patient-derived specimens including tumor tissue and circulating tumor DNA for somatic base mutations and other genomic aberrations that may influence response to therapy. Having established the capability to prospectively sequence patients’ tumors to enable treatment selection, we are analyzing the vast clinical genomic data set of annotated tumor specimens spanning all cancer subtypes to identify prognostic and predictive biomarkers.

     

    The Berger laboratory is seeking outstanding computational and data scientists with a strong interest in developing and applying bioinformatics methods to problems in translational cancer biology. The candidate will interact with investigators with expertise in computational biology, genomic technologies, molecular pathology, and clinical oncology. The ideal candidate will be an innovative thinker, exceptional communicator, self-motivated, organized, capable of carrying out multiple tasks in a dynamic and fast-paced environment, and will enjoy working with an interdisciplinary team.

    You are:

    • A computational biologist committed to applying genomic techniques for clinical benefit.
    • A highly organized and self-directed scientist who enjoys working in a team, can manage multiple tasks simultaneously, and can solve problems independently.
    • Someone who thrives in a fast-paced, dynamic team-oriented environment with changing priorities.
    • Experienced in both experimental and computational cancer genomic methodologies.
    • Collaborative and an excellent communicator.
    • A methodical and detail-oriented scientist.
    • Passionate about science with a desire to impact cancer.

    You will:

    • Perform data analysis and interpretation for next-generation sequencing-based clinical and research experiments.
    • Design, develop, and operate computational pipelines for data analysis to identify and annotate cancer-causing genetic mutations in tumor specimens.
    • Apply analysis algorithms and pipelines to compute quality control and performance metrics.
    • Work directly with laboratory staff and other computational biologists to interpret results, assess and improve assay performance, and support technology development initiatives.
    • Collaborate with clinical and translational researchers to address key clinical and biological questions.
    • Work with computational staff members to evaluate new algorithms, processes and technologies, and suggest revisions to increase productivity and efficiency.
    • Present results and progress updates at lab meetings, CMO meetings, and to collaborating clinicians and researchers.

    You have:

    Minimum Qualifications

    • Masters of Science in cancer biology, genetics, computational biology, or a related field.
    • At least 5 years of experience in academic or corporate research.
    • Outstanding academic record.
    • Strong computational and programming skills, including thorough experience with the following: UNIX environment, next-generation sequencing analysis packages (e.g., Samtools, GATK), advanced programming skills, statistical packages.
    • Knowledge of bioinformatics concepts, methods, and tools.
    • Familiarity with genomic data, tools, and databases.
    • Ability to solve complex problems individually and as part of a team.
    • Strong organizational and troubleshooting abilities, attention to detail and accuracy, and outstanding oral and written English communication skills.

    Preferred Qualifications

    • PhD in cancer biology, genetics, computational biology, or a related field.
    • Extensive experience in cancer biology and cancer genomic analysis.
    • Database management (e.g., SQL, Oracle).

    #LI-FA1

    Closing

    MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.  

     

    Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

     

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