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  • Bioinformatics Scientist

    Bioinformatics Scientist - Becton Dickinson

    The successful candidate will work with a team of bioinformaticians, wet lab scientists, and software developers to develop analytical, statistical, and visualization algorithms, implement tools and software pipelines used to analyze large biological datasets e.g. DNA/RNA sequencing data.

    Duties and Responsibilities
    - Work closely with senior bioinformatics scientists and bench scientists to develop analysis and visualization tools, and pipelines for analysis of large biological datasets
    - Debug pipelines and address pipeline issues raised by internal users in R&D and external collaborators
    - Perform benchmark analysis and evaluate pipeline performance
    - Support basic data analysis relating to pipeline performance
    - Evaluate third party bioinformatics tools for applications to our data
    - Collaborate effectively with other employees to help advance the company’s research and development and commercial goals

    QUALIFICATIONS
    - PhD in bioinformatics, biology, or equivalent.
    - Extensive experience in Genomics, understanding and familiarity with public genomic databases and methods to work with them, mainly NCBI (GenBank, RefSeq, etc.), UCSC, ENSEMBL, etc.
    - Proficiency in data analysis using Python (preferable) or R
    Significant Python programming skills
    - Experience with Next Generation Sequencing technologies, tool usage, and data analysis
    - Experience with relational databases (e.g. PostgreSQL) and SQL language
    - Experience with Linux, shell (e.g. Bash) scripting
    - Team-oriented, strong communicator who effectively adjusts to technical and non-technical audiences.
    - Able to prioritize and deliver results with a high emphasis on quality, technical rigor, and attention to detail.

    Preferred Skills
    - Experience with network analysis, machine learning algorithms highly desirable
    - Experience with software and pipeline development
    - Experience of development and computing in cloud (e.g. Amazon Web Services) and cluster environments (e.g. SGE/UGE)

    Apply here: https://jobs.bd.com/job/menlo-park/b...st/159/1443416

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