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    Opportunity: Graduate Bioinformatics Analyst @ A thriving genomics company -- Oxford/London, UK
    Submitted by Eugene Mc Daid; posted on Wednesday, February 20, 2019



    A thriving genomics company specialised in developing and delivering world class genomic research solutions to leading clinical and academic institutions across the globe has just released a brand new opening in their talented Bioinformatics team. This is a fantastic opportunity to work in a commercial environment, contribute to cutting edge genomics projects and develop expert analysis skills. The ideal candidate will be an experienced Bioinformatician with an excellent academic background, experience working with genomic/NGS data and strong analysis skills.


    • Developing new methods for analysing NGS data
    • Working closely with the R&D teams to provide high quality NGS analysis
    • Exploring novel computational tools and approaches to support
    • Liaise with customers to provide expert support on any data analysis queries.


    Essential experience:
    • A BSc/MSc or PhD in Bioinformatics, Computational Biology, Data Science or a related discipline
    • Strong understanding of molecular biology
    • Demonstrable technical skills, and proficient in one or more programming languages eg. Python, Java, R or Perl
    • Experience working with omics data, particularly NGS
    • Fantastic team player with excellent communication skills
    NB: Candidates with only a BSc will still be considered, but will ideally require 1-2 years industry experience as a Bioinformaticians/Computational Biologist


    This successful genomics company is the perfect place to develop new bioinformatics skills; the team are known for their fantastic dynamic, and friendly work environment. Success and training is well supported and there is plenty of opportunity to grow your career.


    To find out more about this position, send a copy of your CV to efrancis[at] or call Emilie on 0121 616 3477.

    Key words: Bioinformatics, Bioinformatician, Computational Biology, Genomics, NGS, Oxford, London, Data Science, Data Analysis

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