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    Opportunity: BIOINFORMATICIAN/Statistician (#HD_00291) @ EMBL -- Heidelberg, Germany
    Submitted by EMBL Recruitment; posted on Wednesday, October 10, 2012


    The European Molecular Biology Laboratory (EMBL) is one of the highest ranked scientific research organisations in the world. The Headquarters Laboratory is located in Heidelberg (Germany) and the outstations are in Grenoble (France), Hamburg (Germany), Hinxton (UK) and Monterotondo (Italy).

    We are seeking a highly motivated person with expertise in both software development and bioinformatics to work in the Genome Biology Unit at EMBL.


    The position involves two aspects:

    A service role to provide computational support to the Genome Biology unit:
    • Development of existing in-house web applications, in particular a Next Generation Sequencing/Microarray LIMS
    • Maintenance of analysis tools, in particular a Galaxy server
    • Web and computing server maintenance and administration
    • Database design and development for new applications
    • Computational support and training
    A research role that involves:
    • Bioinformatics analysis of Next Generation Sequencing data
    • DNA sequence analysis
    • Statistical analysis and machine learning
    The successful applicant will serve to integrate many computational tools within the unit as well as performing state-of-the art data analysis to address specific biological questions.


    Qualifications and Experience:
    Applicants should have an appropriate university degree and/or Ph.D. in computer science, bioinformatics or statistics, with a very strong understanding of Biology. Extensive experience in bioinformatics of large datasets, excellent software development skills including software specifications, design and project management, experience in database (MySQL, PgSQL) and server administration (Linux) are essential.

    Advanced programming skills in Java (Hibernate, Spring, Spring M etc) are required, including a working knowledge of R and PHP, Python and JavaScript. Prior experience with analysis of Next Generation Sequencing data (ChIP-seq, RNA-seq) and biological research is a definite advantage. Practical experience with parallel and cluster computing is a plus. The candidate should be able to work independently and also interact well within a team environment. A working knowledge of English is essential.


    Please apply online through quoting ref.

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