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    Opportunity: Laboratory Informatics Developer -- LIMS @ A world-leading organisation -- Cambridge, UK
    Submitted by Eugene Mc Daid; posted on Friday, June 28, 2019

    Submitter

    BACKGROUND

    This is a great opportunity for a LIMS Developer to join a world-leading organisation working in liquid biopsy. The developer will ensure productivity of an automated Clinical Lab and help develop the LIMS platform alongside new laboratory technology.

    RESPONSIBILITIES

    Key Responsibilities:
    • Interfacing between the LIMS users and the Computational team as to establish user requirements
    • Develop User Guides or Work Instruction documents (SOPs)
    • Train and support LIMS users
    • Maintain and create workflows
    • Scripting against the LIMS API
    • Develop IQ, OQ, PQ documentation
    • Conduct UAT testing to ensure that the configuration is meeting the business needs, also resolve any bugs identified during the testing phase
    • Integrating the LIMS with other in house system
    • Supporting the day to day CLIA lab operations by dealing with LIMS issues such as incorrect entries as they arise

    REQUIREMENTS

    Key Requirements:
    • Experience with Python
    • Knowledge of LIMS configuration
    • Experience working with Git repositories
    • Experience with Shell command-line interpreter such as bash
    • Experience with liquid handling robots
    • Understanding of molecular biology and experience with molecular techniques including PCR and NGS
    • Experience with Clarity LIMS,
    • Ability to write review and execute IQ, OQ, PQ documentation
    • Ability to communicate effectively

    COMPENSATION

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

    HOW TO APPLY

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

    Keywords: LIMS, Developer, Lab, Informatics, Python, Configuration, Clinical, Genomics, SOP, API, Scripting, CLIA, Git, Bash, NGS, PCR, Workflows, Cambridge.

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