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    Opportunity: Bioinformatician R&D @ Genomics England -- Cambridge, UK
    Submitted by Eugene McDaid; posted on Friday, June 12, 2020



    To build on the success of the 100,000 Genomes Project, the Government tasked NHS England with support from Genomics England to launch a new NHS Genomic Medicine Service. Genomics England has been asked to prepare a plan for up to 5 million genomic tests over the next 5 years.


    The post holder will assist in the bioinformatic analysis of data from projects that form part of the Anglo-French Agreement Plan. This includes long read sequencing analysis, pipeline development, LIMS/sample tracking systems and other analyses as required.

    Key Accountabilities:
    • Supporting the activities of the Genomics England R&D team, with a particular focus on emerging long-read technologies
    • Pipeline/workflow development
    • Comparing tools and pipelines for long-read analysis
    • Operation of R&D workflows
    • LIMS/sample tracking system development
    • Performing computational analysis for a range of R&D projects


    Key Requirements:
    • Experience of next generation or long-read sequencing data analysis
    • Strong coding skills (python preferred)
    • Experience implementing bioinformatic workflows
    • Experience with software development
    • Strong communication, organisation and teamworking skills
    • PhD in Bioinformatics, Computer Science or related discipline preferred (but not required if sufficient experience can be demonstrated).
    • Experience with long read sequencing
    • Experience with human genomics
    • Good statistical knowledge


    12-month Fixed Term


    There are some great benefits on offer with this role including a competitive salary, pension, generous holidays and more.


    Please do not hesitate to contact Harvey Uppal at huppal[at] or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Bioinformatics, Genomics, Research, Long, Read, Nanopore, PacBio, NGS, Novel, Python, Analysis, Cancer, Disease, Pipelines, LIMS, Development, Cambridge

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