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    Opportunity: Lead Computational Biologist @ A company leveraging genetic engineering -- Boston, MA (US)
    Submitted by Eugene Mc Daid; posted on Friday, January 18, 2019

    Submitter

    BACKGROUND

    A company leveraging genetic engineering and for a variety of demands across healthcare, food, materials and energy are currently growing their computational biology capabilities in the Boston area. This organisation work across a diverse portfolio of projects and have had large deals agreed with pharmaceutical and medical companies looking to collaborate on innovative new research involving agriculture and synthetic biology.

    The impressive offices are located in a popular spot in Boston, and have been designed to encourage an open and flexible working environment with several kitchens, meeting spots, labs and office areas throughout. Extensive growth is continuing throughout the business, and the employees are encouraged to have a big involvement in the office themes and ideas.

    As a senior member of the Computational Biology/Bioinformatics team, you will work in a cross-functional team of machine learning scientists, software developers and wet-lab scientists to support the further development of analytical tools that can help derive unique insights from data. The NGS teams work use state of the art Illumina machines and would like to hear from motivated bioinformaticians who want to develop novel methods for their engineered strains.

    RESPONSIBILITIES

    • Leading 2 junior Computational Biologists in the team
    • Support the cross functional team and scientists to understand their analytical needs.
    • Developing tools for comparative and phylogenetic analysis of genome and metagenome sequence data
    • Working with a host of data including genomics, transcriptomics, proteomics and metabolomics
    • Develop analysis framework for evolutionary engineering to improve strain performance.
    • Implementing sequence analysis tools for verification, analysis, and comparison of engineered strains
    • Developing tools for manipulation and analysis of NGS datasets
    • Integrate tools into the company's software infrastructure.
    • Run existing analysis software and scripts as needed, while keeping excellent records.

    REQUIREMENTS

    • MS/PhD in life sciences, bioinformatics, computational biology, physical sciences, or equivalent experience
    • 4+ years of experience in computational biology and/or data analysis, including at least 2 years of hands-on work experience with real data
    • You should be able to understand biology, and have had interaction with biologists previously.
    • Should be able to work independently, generate new ideas and complete projects
    • Enjoys writing sophisticated code
    • Experience with the data analysis stack of python or R
    • Experience with manipulation and visualization of genomes, metagenome and/or NGS datasets
    • Experience with NGS data from Illumina and MinIon sequencing machines
    • Ability to clearly communicate with multidisciplinary scientific staff in a collaborative and diverse environment

    COMPENSATION

    This is a unique opportunity to join a cool, creative and inspiring company who have an incredible diversity of projects, developing over 40 different organisms to make different products across multiple industries. Culture fit is very important here, and we are looking for driven and motivated candidates to take on this engineering position. You will receive benefits such as dental & health care cover, commuting contribution, stock units, 401k plan and generous holiday.

    HOW TO APPLY

    It would be great to hear from you if you are interested, please apply to this advert if you would like to discuss further. Alternatively, you can send your resume to jpage[at]pararecruit.com. Please provide a link to any publicly available code when applying.

    Keywords: Computational Biology, Bioinformatics, Biological Engineering, Microbes, Synthetic Biology, NGS, Software, Genetics, Organisms, Illumina, Boston, Cambridge

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