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    Bioinformatics Data Engineer - Durham, United States - Kelly

    Kelly
    Kelly Durham, United States

    3 weeks ago

    Kelly background
    Engineering / Architecture
    Description

    The National Institutes of Health is seeking a Bioinformatics Scientist. This is a long-term, full-time, contract position based in Durham, NC. This position offers a competitive benefits package.

    PRIMARY RESPONSIBILITIES:

    The position will independently develop methods and software for novel predictive models, including artificial intelligence (AI) and machine learning (ML) applications. This position will work across the Division of Translational Toxicology (DTT) to synthesize toxicoinformatic, spatiotemporal, dose-response, and systems toxicology data sources.

    • Generate and optimize programs and scripts for the analysis of data; create programs and algorithms and develop computational infrastructure resources for organizing and parsing data from large and complex data.
    • Serve as bioinformatics expert and coordinate with teams of biologists to conduct experimental queries and/or perform portions of studies using complex procedures and techniques common to modern bioinformatics.
    • Coordinate building bioinformatics infrastructure to ensure easy and meaningful scientific analysis and interpretation of data
    • Collaborate with scientists to design, analyze, manage and interpret all types of data.
    • Work with staff on planning of experiments, and data analysis for internal and collaborative projects; use bioinformatics expertise to advise and help bench scientists on experimental design and trouble-shooting.
    • Work with staff on the development and maintenance of bioinformatics tools, scripts and pipe-lines for data.
    • Collaborate with biologists, statisticians and/or other bioinformaticians in the design of models summarizing/explaining experimental data.

    REQUIREMENTS:

    • Minimum MS in Genetics, Statistics, Computer Science or related discipline is required
    • Minimum 2 years of experience developing methods and software for novel predictive models, including artificial intelligence (AI) and machine learning (ML) applications is required
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