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    Data Engineer - San Diego, United States - Johnson & Johnson

    Johnson & Johnson
    Johnson & Johnson San Diego, United States

    Found in: Lensa US 4 C2 - 4 days ago

    Default job background
    Description
    :


    Johnson & Johnson Innovative Medicine is recruiting for a Data Engineer in R&D Data Science Solution, Privacy, and Ethics (DSSPE) team, located in San Diego, CA, Spring House, PA, South San Francisco, CA, or Titusville, NJ.


    The team applies a diverse set of data and tools, along with platform solutions to answer impactful analytical questions and provide insights to strategy makings, from early stage of drug discovery to clinical programs.


    As a member of the Data Platforms team, the Data Analytics Engineer will lead and deliver data integration and analytics solutions to support precision medicine for Janssen's growing oncology pipeline.

    This role is responsible for implementing R&D data pipelines as well as develop/deploy innovative technology/solutions that triangulate insights for clinical programs.

    The role requires solid understanding of data engineering, analytical solutions, and creativity to invent and customize where necessary.

    Key Responsibilities:

    Implement data & analytics engineering strategy for oncology clinical trial data.
    Partner closely with cross functional team including Biomarker & Diagnostic Operations, data scientists and IT for implementation and execution.
    Partner with R&D partners to deliver analytical data pipeline with a focus on oncology biomarker, diagnostic, and sample management.
    Participate in evaluations of algorithms, tools and technologies that enable R&D data science initiative.
    Provides key sophisticated analytical support for clinical programs with a precision medicine focus.
    Creation of high-level biomarker and diagnostic datasets from a variety specialty lab partner(s). The candidate should be comfortable working with a diverse collection of data files, formats and data types depending on the assays/platform used

    Qualifications:

    Bachelors Degree in Bioinformatics, Statistics, Computer Science, Information Technology, Operation Research or a related subject area is required.
    3+ years of life science proven experience on data science or data analytics teams required.
    Proficient with one or more programming language such as SQL / Python
    Experience with Data Management and Relational Data Warehouses (such as Redshift).
    Understand requirements and implement data integration strategies including schema mapping, data transformations, and data cleaning.
    Solid understanding of a cloud platform, such as AWS.
    Excellent communication, interpersonal, and written skills.

    Preferred:


    Prior independent or research experiences on projects using data from clinical trials, clinical trial subject operational data, SDTM/ADaM format, etc.

    Demonstrate knowledge of health outcomes databases (claim, EMR/EHR, survey, observation studies) or clinical operations.
    Experience with relevant disease biology in cancer, immunology, neuroscience, cardiovascular, or infectious disease.

    Working experience in data science projects using predictive technologies, data mining and/or text mining of datasets in the clinical or healthcare domain.

    Expected Base Salary
    :
    104, ,000

    Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer.

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

    For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit

    #JRDDS

    #JNJDataScience

    #JRD

    #J-18808-Ljbffr
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