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Sr. Bioinformatics Scientist - LUNAR

Guardant Health

Sr. Bioinformatics Scientist - LUNAR

San Diego, CA
Full Time
Paid
  • Responsibilities

    Job Description

    THIS ROLE IS AVAILABLE TO WORK IN REDWOOD CITY OR SAN DIEGO, CA.

    DUE TO THE COVID 19 PANDEMIC GUARDANT HEALTH HAS TEMPORARILY CLASSIFIED THIS ROLE AS ‘WORKING FROM HOME STATUS’, SCHEDULED TO RETURN ONSITE WHEN IT IS DETERMINED SAFE TO DO SO.

     

    ABOUT THE ROLE 

    At Guardant Health, we are committed to positively and significantly improving patient health with technology breakthroughs that address long-standing unmet needs in oncology. As the leader in the field of liquid biopsy, Guardant Health has collected cancer genomic data from over 100,000 patients. We are using bioinformatics and machine learning techniques to extract signals from these data and are developing a liquid biopsy assay to detect early-stage cancer. We are looking for a bioinformatics scientist to join us in this endeavor. The successful candidate will work at the forefront of research and technological development within the interdisciplinary LUNAR team and will make core contributions to evolving products designed to have clinical impact on patients.

    Several of our recent published results can be found here:

    • https://www.abstractsonline.com/pp8/#!/6812/presentation/4801

    • https://meetinglibrary.asco.org/record/175828/abstract

    • https://meetinglibrary.asco.org/record/171791/abstract

    • https://www.abstractsonline.com/pp8/#!/9045/presentation/4534

    as well as a press release about the recent launch of a 10,000-patient trial for evaluating the clinical impact of our LUNAR blood test for detecting colorectal cancer on an average-risk population:

    • http://investors.guardanthealth.com/news-releases/news-release-details/guardant-health-initiates-eclipse-pivotal-study-its-lunar-2

    RESPONSIBILITIES

    • Collaborate with Technology Development scientists on designing experiments to assess and improve assay performance

    • Develop, prototype, and analyze the performance of novel statistical models

    • Participate in brainstorming sessions, maintain a highly productive and motivating work environment

    • Identify relevant external genomic, epigenomic and proteomic data sources and integrate with internal data to improve product performance and suggest new product features

    • Provide written documentation and specifications

    ABOUT YOU

    • Dedicated to make a difference in a rapid-paced startup environment

    • Ph.D. in computational biology/bioinformatics, genomics, machine learning, or related fields and 3+ years industry/academia experience, OR MS and 5+ years industry/academia experience

    • Experienced with analysis of genomic and epigenomic NGS data

    • Familiar with statistical models for genomic/epigenomic data

    • Proficiency with a high level scripting language (Python/R; Python preferred)

    • Experienced in visualization of complex experiments to derive biological insights

    • Proficiency with Linux command-line and version control tools (git and GitHub)

    PREFERRED

    • Cancer biology background

    • Experience in analyzing public genomic/epigenomic datasets (e.g. TCGA, ENCODE)

    • Ability to build reproducible and well-written code (or packages) for data analysis

    • Familiar with high-performance computing infrastructures (e.g., SGE, Spark)

    • Experience leveraging AWS based services  (e.g., EC2, S3) to speed analyses

    • Experience with good software engineering practices (e.g., unit testing, code documentation)

     

    We would like to talk with you about our exciting projects we currently have ongoing.

    #LI-MT1

     

  • Qualifications

    Additional Information

    Employee may be required to lift routine office supplies and use office equipment.  Majority of the work is performed in a desk/office environment; however, there may be exposure to high noise levels, fumes, and biohazard material in the laboratory environment.  Ability to sit for extended periods of time.

    Guardant Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

    All your information will be kept confidential according to EEO guidelines.

    To learn more about the information collected when you apply for a position at Guardant Health, Inc. and how it is used, please review our PRIVACY NOTICE FOR JOB APPLICANTS

    Please visit our career page at: http://www.guardanthealth.com/jobs

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