[Next-Generation Sequencing Book]
  • [Photo] Marcus Rauch • October 7, 2014

    BACKGROUND

    The Crucell Vaccine Institute (CVI) is a unique discovery center within Johnson & Johnson. The remit of the newly founded CVI laboratory in London is to investigate the role of the human microbiome in health and disease. We are currently assembling a team of experienced microbiologists/microbial ecologists/immunologists and bioinformaticians to apply 16S community analysis, metagenomics, and metabolomics to clinical samples and animal models of human diseases linked to microbiota dysbiosis. We aim to identify factors and mechanisms that might influence/enhance the risk and outcomes associated with these disorders/conditions and to develop products for prevention and treatment.

    For the CVI laboratory in London we are searching for a SENIOR Bioinformatician to lead a team of talented computer-based scientists.

    RESPONSIBILITIES

    • Using established software, as well as exploring and adapting novel bioinformatics tools and pipelines, to analyse next generation sequencing of microbial communities and metabolomic data sets
    • Writing scripts for multi-dimensional data analyses
    • Visualising large and complex data sets
    • Establishing and maintaining laboratory databases
    • Supporting laboratory members in experimental design and data analysis
    • Forge and manage key collaborative relationships both within and outside of the organization
    • Play a leading role in recruiting members of the computer-based team

    REQUIREMENTS

    A Doctoral or Master's degree in an appropriate field of science or technology and related research experience utilising bioinformatic techniques/methods required by the position

    PREFERENCES

    Specific Knowledge:
    • Ability to write scripts for analysing data, for 'gluing together' existing programs, and for mining databases (e.g. in R, perl, python, Matlab, C, C++, or Java)
    • Ability to setup and administer a UNIX/LINUX operating system and/or cloud-based computing
    • Ability to create relational databases for managing lab data (e.g. in MySQL or PostgreSQL)
    Experience:
    • Experience with microbiome data (16S community analysis and/or metagenomic/metabolomic analysis) is strongly preferred
    • Good knowledge of biomedical statistics - in particular experience with the analysis of longitudinal data - is desired
    • Expertise in in silico analysis of metabolic pathways is considered favorable
    Competences:
    • Demonstrated written and oral communication skills
    • Excellent analytical skills
    • Problem solver
    • Eye for detail
    • Demonstrated leadership skills
    • Work well in a team environment

    TERMS

    Fulltime

    LOCALE

    London, United Kingdom

    COMPENSATION

    DOE

    HOW TO APPLY

    Please visit our jobsite http://www.careers.jnj.com, look for the requisition number 00000TDQ (corrected) and apply online. In parallel, please send your application including cover letter and CV to Dr. Marcus Rauch (mrauch[at]its.jnj.com).

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