Not logged in
  • Log in
    Membership (41428+) Group hosting [?] Wiki
    Franklin Award

    About bioinformatics
    Bioinformatics training
    Bioinformatics jobs

    All information groups
    Online databases Online analysis tools Online education tools More tools

    All software groups
    FTP repository
    SVN & CVS repositories [?]
    Mailing lists

    News & Commentary
  • Submit
  • Archives
  • Subscribe

  • Jobs Forum
    (Career Center)
  • Submit
  • Archives
  • Subscribe
  • Career Center - Message forums

    Opportunity: Bioinformatics Pipeline Developer @ A life science company -- Cambridge, UK
    Submitted by Eugene McDaid; posted on Friday, August 30, 2019



    This is a great opportunity for a strong bioinformatics pipeline developer to join the R&D Computational Biology group who are looking to recruit a highly motivated, creative and logical individual with strong bioinformatics and computational skills.

    This role will be placed within the newly formed pipeline team which oversees the development and maintenance of the company's production pipelines. The candidate will work closely with the bioinformatics, software development and system administration teams to develop new pipelines into robust and scalable products. The candidate will have strong communication skills, a delivery focused attitude and the ability to interface with different teams. This position offers the exciting opportunity to work at the frontier of liquid biopsy-based cancer diagnostics, seeking entire product development pipeline from concept, clinical validation, to commercial product.

    This role will involve applying a deep understanding of HPC to the analysis of NGS cancer genomics variant data and innovative algorithm design. We expect that applicants will have prior experience in the field of bioinformatics and a solid background in pipeline development and optimisation in relation to NGS analysis; for example, an MSc or PhD degree in a relevant field and/or industry experience.


    Key Responsibilities Include:
    • Develop new and scale existing algorithms and pipelines to production ready, regulatory compliant cancer diagnostics products.
    • Interface between bioinformatics, software development and system administration teams to prioritise and organise work.
    • Contribute to quality management of computational biology processes and development of systems that conform to regulatory standards.


    Key Requirements Include:
    • Proven track record with HPC in context of biomedical data analysis (essential)
    • Experience with implementation and maintenance of NGS data analysis pipelines (essential)
    • Full working proficiency in Python and R (essential)
    • Full working proficiency in Linux system administration (essential)
    • Full working proficiency in relational databases, such as MySQL, PostgreSQL or Oracle (essential)
    • Full working proficiency in software versioning systems, eg. git, svn (essential)
    • Knowledge of cancer genomics (desired)
    • Full working proficiency in a compiled language, preferably C or C++ (desired)
    • Experience with algorithm and systems design for parallel computing (desired)
    • Experience with Docker (desired)
    • Experience with AWS products, including EC2, Batch, S3, Lambda (desired)
    • Prior experience with work in a regulated environment, in particular for software and quality assurance, such as ISO 13485, EN 62304, ISO 15189, or other (desired)


    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, Pipeline, Developer, Computational, Biology, Software, Cancer, Diagnostics, Algorithms, NGS, Python, Linux, HPC, Version, Control, SQL, Regulated, Cambridge

    Expanded view | Monitor forum | Save place

    Start a new thread:
    You have to be logged in to post a reply.


    Copyright © 2019 · Scilico, LLC