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    Staff Bioinformatics Software Development - Cambridge, United Kingdom - Illumina

    Illumina
    Illumina Cambridge, United Kingdom

    2 weeks ago

    Default job background
    Full time
    Description
    What if the work you did every day could impact the lives of people you know? Or all of humanity?At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

    Staff Bioinformatics Software Development Engineer

    Location: Remote UK based, or Hub Hybrid in Cambridge UK, or Remote in France

    We are looking for a Bioinformatics Software Development Scientist/ Engineer to join our team and work either Hub and Hybrid from our Cambridge office or remote from UK / France.

    Our team develops Next Generation Sequencing (NGS) secondary analysis solutions used by researchers and clinicians worldwide, providing sample-to-answer pipelines with high reliability, speed, and accuracy of results.

    In return, Illumina's employee benefits are industry-leading and include flexible time off, private medical insurance, compassion, and care time off, leisure travel insurance, pension, employee stock purchasing program, volunteer time off and much more

    Why us

    Our team are responsible for the industry-leading FPGA-accelerated DRAGEN Bio-IT platform, together with integration in the ICA Cloud platform for scalability and data interpretation. More specifically, the Accelerated & Advanced Informatics Team specializes in developing software-based, hardware-based, and accelerated genomic algorithms and in driving these algorithms through implementation and into solutions that have high utility for our customers. The resulting bioinformatic tools are deployed across various platforms that run on-site and in the cloud.

    The role

    This role chiefly involves software development and project coordination to map existing secondary analysis algorithms from one platform to another, making appropriate changes to bend each algorithm into something more amenable to the new deployment target whilst keeping functional and (where feasible) bit accuracy.

    Further, this involves working with the systems/QA engineer(s) to assure quality and performance targets are met and also involves working with the greater DRAGEN team on support and continuous improvement.

    Why you

    To be successful in this role you will have the following experience and skills:

  • Strong background in genomic mapping and alignment algorithms and implementation, including the ability to interpret genomic pileup data.
  • Experience with VHDL and with related front- and back-end RTL design and simulation tools
  • Experience implementing bioinformatics primary/secondary analysis pipelines (or similar signal processing pipelines) in custom logic (ASIC and/or FPGA) with schedule, cost, power, and performance constraints.
  • Ability to take on technical and program leadership responsibilities when/if called upon to do so.
  • Experience or knowledge in key considerations for translating software algorithms to hardware and vice versa; e.g., fixed- vs. floating-point representations, memory bandwidth estimation, software code profiling, bottleneck mitigation, alternate numerical methods, linear- vs. log-domain, etc.
  • Self-starter, good problem-solving skills, ability to push forward project objectives both through individual effort and team collaboration.

    • Additional desirable skills and experience:

  • C/C++ coding, debug, and optimization skills, with runtime/efficiency constraints in x86 and ARM CPUs
  • User experience running the DRAGEN Bio-IT platform on genomic data and analyzing the results
  • Information theory, Bayesian inference, signal processing, image processing, machine learning, and/or applied math background and/or experience
  • OpenCL, XRT-lib, high-level synthesis and/or other rapid software-to-RTL implementation methods and tools
  • Matlab, Python, and/or Java coding experience
  • Experience targeting FPGA-in-the-cloud (e.g., AWS F1 instances)
  • Experience with revision control (e.g., Git, Perforce, etc.)
  • Linux/Unix scripting skills
  • Strong documentation and presentation skills

    • Education and Job Experience Requirements:

  • You could have a degree from any one, or more, of the following fields: Bioinformatics, Electrical Engineering, Computer Engineering, Computer Sciences, Software Engineering, or relevant work experience.
  • Bachelor's, Master's, or Ph.D.
  • Job experience: the role can be morphed to accommodate candidates from recent graduates to experienced professionals.

    • Does this sound like you? Apply today and we'll be back in touch

    What can you expect?

    Our team members are bright, energetic, and dedicated - they are the driving force behind our innovation and impact. To attract the best and brightest, we offer a competitive employee benefits program. We view it as a smart investment in our people, one that recognizes the tremendous value they bring to our business every day. At Illumina, we push boundaries. We think beyond the conventional. We dream big. With the energy of so many bright and accomplished people, the opportunities are endless.

    #LI-EMEA

    #LI-HYBRID

    Illumina believes that everyone has the ability to make an impact, and we are proud to be an equal opportunities employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information.
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