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  • EASIH Bioinformatician - Cambridge, UK

    Bioinformatician
    Eastern Sequence and Informatics Hub (EASIH)
    University of Cambridge, Department of Medical Genetics
    Salary: £27,319 - £35,646pa


    The Eastern Sequence and Informatics Hub (EASIH) is a new Clinical School Research Facility hosted by the University Department of Medical Genetics. The EASIH will be involved in world class sequencing and bioinformatic research partnerships with clients both within Cambridge University and across the UK, working on matters of national and international importance in the life sciences and routine medical diagnostics. As one of four national facilities which are being funded by partnerships between the MRC and host institutions, the EASIH's aim is to provide a comprehensive and expert Next Generation Sequencing (NGS) service. The sequencing component, lead by Dr Chris Clee, is well equipped with all current major NGS platforms.

    The EASIH has access to High Performance Computing facilities.

    We are now looking to recruit a Bioinformatician to work with the Head of Bioinformatics, Dr. Anthony Rogers, to provide direct client liaison on projects undertaken by the EASIH. By the nature of the EASIH you will be involved in analysing data resulting from a wide range of experimental strategies and in varied fields of biological and medical research, often making use of the Cambridge High Performance Computing Service. We envisage duties to include the development and application of innovative computational approaches for the analysis of large sequence datasets from NGS technologies and expertise to support the EASIH and its clients. Working in a multi-disciplinary team, the successful candidate will be required to train and assist customers with data access, analysis, presentation, interpretation and statistical issues. It is expected that Bioinformaticians will be closely associated to projects and so assist in publication of the work.

    The successful applicant will be educated to MSc level or possess substantial equivalent experience. Familiarity with NGS data analysis techniques is preferred. Ideally you will have experience of software development in an object oriented language (eg C++ or Java) and knowledge of a scripting language (eg Perl, PHP, Python). You should possess a detailed knowledge of programming techniques and RDBMS and have excellent interpersonal and organisational skills together with a proven ability to work as member of a team. Experience and enthusiasm for medical genetics research is welcomed and experience of working in a customer orientated situation would be helpful.

    Further particulars can be obtained from, and applications (with CV and cover sheet PD18*- parts I and III only) should be sent to, Selina Day, EASIH Administrator, EASIH, Academic Lab. Medical Genetics, Box 238, Addenbrooke's Hospital, Cambridge CB2 0QQ.
    email: [email protected]
    Tel: 01223 746768

    Quote Reference SS06299, Closing Date: 17 March 2010

    Interview Date: 30 March 2010
    The University values diversity and is committed to equality of opportunity.
    The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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