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    Opportunity: Bioinformatics Analytics Engineer (#RQ43289) @ General Dynamics Information Technology / CDC -- Atlanta, GA (US)
    Submitted by Dr. David Pot; posted on Sunday, November 03, 2019


    GDIT is currently seeking a Bioinformatics Engineer with experience in designing, developing and maintaining scientific applications used to analyze, store and distribute scientific data and metadata. The ideal candidate will have experience beyond their degree work (in academic, commercial, or government environments) in designing, developing, and maintaining systems for molecular data and associated metadata using front end using JavaScript-based technologies and databases such as PostgreSQL, MySQL, or NoSQL. The successful candidate will closely interact with other scientists on the team and at CDC in understanding the data, workflows, and uses of the data.

    In this role, you will be designing and implementing new applications and/or improve existing applications for laboratory and epidemiologic data, as well as migrating data from pre-existing databases. You will also participate in the development of project schedule and data management plans to store and migrate data accurately and on time. Development of specific software to store, migrate, or utilize the data will be done using technologies such as Python, Perl, R, and Java.

    Position is for full time employment with GDIT.


    • Support the development of cutting-edge pipelines and data management systems for the analysis and interpretation of NGS data including 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 aspects of bioinformatics 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, R 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


    • Bachelor's degree in bioinformatics, biotechnology, computational biology, biostatistics, computer science or related fields and two years related experience or the equivalent education/experience
    • Experience with bioinformatics analyses and pipeline development
    • Experience with High Performance Computing environments
    • Experience with front end development using JavaScript, CSS, and HTML
    • Experience with database technologies such as PostgreSQL, MySQL, and/or NoSQL
    • Strong experience in Linux/Unix environment


    • Full stack experience with MERN (Mongo, Express, React, Node)
    • Experience with statistical packages such as R and/or SAS


    CDC in Atlanta, GA


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