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    Programmer Analyst II - Beijing, 中国 - Thermo Fisher Scientific

    Thermo Fisher Scientific background
    OTHER
    描述
    Job Description


    • Performs programming tasks as assigned by study project team leads that
    includes but is not limited to independently creating, executing, maintaining, and
    validating programs that transfer data across multiple data management systems
    or operating systems, combining data from a variety of sources and structures,
    generating and storing summary data from a variety of sources, generating
    reports or combining multiple databases and validating programs that generate
    listings, tables and figures using SAS and standard tools and processes.


    • Prepares and analyzes clinical trial patient datasets, such as laboratory data, vital
    signs data, tumor response data, imaging data, quality of life and well-being
    questionnaire data, or adverse events data, for clinical research purposes.
    Consult with researchers and multi-disciplinary project teams to analyze
    problems and recommend technology-based solutions and computational
    strategies for the specific project as assigned.


    • Develops the customized codes to utilize existing tools and applications to
    provide the outputs or to validate outputs for clinical bioinformatics or technical
    use.


    • Acts as the programming lead on studies of simple to moderate complexity to
    deliver on lead tasks/responsibilities.


    • Actively seeks information to gain good understanding of the role of the lead
    programmer in the overall process and may act as the lead programmer on
    simple to moderately complex projects under close supervision. Ensures
    adherence to departmental working practice documents and SOPs, and
    contributes to the development informal training materials.


    • Increases knowledge base and professional skills in areas including
    programming, technology and techniques, clinical trials, and the pharmaceutical
    industry by working closely with mentors, attending presentation / teaching
    events, and contributing to other general department documents and policies by
    assisting mentors with implementing best practice documents and articles.


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