• [Photo] Dr. David Pot • July 20, 2016
    BACKGROUND:
    CSRA is seeking a mid-level or junior Bioinformatics Scientist to join our teams in Atlanta supporting the CDC, National Center for Immunizations and Respiratory Diseases (NCIRD). This individual will support and assists multiple stakeholders in the development, implementation, and administration of computational systems and tools to meet the Division's growing demands on Next Generation Sequencing (NGS) technologies. In this role you will work with diverse team members, including linux and High Performance Computing (HPC) administrators as well as bioinformatics scientists, to develop and implement tools to translate NGS results into meaningful biological insights using contemporary methods including variant analysis, comparative genomics, statistical modelling, phylogenetic methods, and integration with other information types. To be successful in this role, you should be able to interface between the bioinformatics scientists and Linux system administrators to ensure continuous support of NGS bioinformatics applications within multiple laboratories of NCIRD. The ideal candidate will be a skilled bioinformatics professional with a strong linux background who possesses a proactive and engaging attitude, strong communication skills, and the desire to work in a dynamic, high-priority environment.

    In this role, you will be a member of a small team of skilled bioinformatics scientists and laboratory scientists focused on leveraging NGS capabilities to develop the next generation of surveillance and laboratory diagnostic tools used in the global fight against disease. Position is for full time employment with CSRA and will be based onsite at the CDC campus off Clifton Rd.

    RESPONSIBILITIES:
    Key responsibilities will involve performing on a small team the following:
    • Support the development of cutting-edge pipelines and data management systems for the analysis and interpretation of NGS data including NGS data processing, metagenomics, comparative genomics, variant calling, annotation, interpretation, and data presentation
    • Participate in the technical development process of an emerging NGS analytics and surveillance platforms
    • Implement state-of-the-art computational methods, and assist in the development of innovative approaches to software challenges that touch all aspects of NGS data analysis and management
    • Develop software pipelines in iterative cycles in a timely manner, based on schedules developed in collaboration with the project manager and other team members
    • Conduct programming and/or scripting using languages such as Python, Perl, Bash, and/or Java
    • Provide expertise in algorithm generation as well as statistical and computational methods for the analysis of complex, high-throughput biological data
    • Analyze large-scale genomic datasets acquired internally and through collaboration with other public health organizations worldwide, using statistical/mathematical packages such as SAS, R, and/or MATLAB
    • Maintain expertise in the science and application of genomic technologies
    • Develop documentations and assist in providing professional grade reports on ongoing sequencing, analysis, and surveillance activities
    • Report on project and task progress through daily verbal and monthly written communications
    • Help to ensure that software adheres to appropriate government and regulatory compliance requirements
    • Work with other team members to mature and integrate analytical tools/pipelines into user accessible tools/interfaces in UNIX/Linux and high performance computing environments
    • Serve as a junior or mid-level subject matter expert to guide complex software development activities
    REQUIREMENTS:
    • M.S. in biology, computational biology, biostatistics, or related fields, and 2+ years' experience (or equivalent combination of education and experience, such as PhD and 1+ year)
    • 1+ years' professional experience in bioinformatics & Next Generation Sequencing (NGS) data analysis
    • Demonstrated fluency in UNIX/Linux computing environments
    • Demonstrated programming and/or scripting experience in one or more languages such as Python (preferred), Perl, Bash, and/or Java
    • Experience in pipeline generation and/or computational methods implementation
    • Excellent written and verbal communications skills, and proven ability to interact productively in a scientific team environment
    PREFERENCES:
    • Ph.D. in Bioinformatics, Biostatistics, or Computational Biology or other relevant discipline preferred
    • Experience with High Performance Computing environments is preferred
    • Experience with standard/common tools for NGS data analysis including SAMtools, aligners (BWA, Bowtie2, etc.), de novo assemblers (SPAdes, Velvet, SOAP de novo, CLC, Geneious, etc.), and various BLAST methods is preferred
    • Experience with MEAN (MongoDB, Express.js, Angular.js, Node.js)
    • Experience with developing database applications using PostgreSQL, MySQL, and/or NoSQL
    • Strong in statistical/ mathematical packages such as SAS/R/MATLAB
    • Comfortable working in a dynamic, fast paced environment
    • Experience with multiple Next Generation Sequencing (NGS) technologies such as Illumina, IonTorrent, PacBio, and Oxford Nanopore
    • Experience working with code repository/version control systems
    TERMS:
    Full time employment

    LOCALE:
    Atlanta, GA

    COMPENSATION:
    Negotiable

    HOW TO APPLY:
    Please apply directly online via http://www.csra.com to job #9196 or via this link https://jobs.csra.com/job/atlanta/bioinformatics-scientist/3459/2586796

    DEADLINE:
    August 30th, 2016

    POLICY:
    EEO

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