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    Lead Data Engineer - Snowflake, United States - CellVoyant

    CellVoyant
    CellVoyant Snowflake, United States

    Found in: Lensa US 4 C2 - 2 days ago

    Default job background
    Description
    CellVoyant is a biotechnology company that predicts stem cell differentiation using live cell microscopy and artificial intelligence. We use this approach to optimise and unlock human tissue manufacturing for research and therapeutics applications.

    We spun out from the Carazo Salas lab at the University of Bristol in 2022 and are backed by venture capital firms who were the earliest investors in DeepMind, Exscientia, Recursion, Wayve, and Abcam.

    What we're looking for


    As Lead Data Engineer, you are responsible for automating and scaling data processes across our cell fate prediction work streams and develop new ways of extracting value from our experimental microscopy data platform.

    You'll standardise best practises, democratise access to data and evolve our data infrastructure, working closely with our Machine Learning team (who build, integrate, test and scale our computer vision for cell fate prediction) and Biology team (who design and run our cell biology experiments for microscopy data collection and differentiation protocol development).

    What you'll do in this role


    Provide technical leadership and implement data engineering best practices, including defining the vision and data strategy at CellVoyant in collaboration with the leadership team.

    Communicate and drive consensus on this strategy and plan with other teams across the company.

    Develop new ways of visualising and interpreting the large-scale microscopy data generated by our Biology team to accelerate our ability to control stem cell fate during differentiation.

    Collaborate with our Software team to define and build internal applications and data products for our Biology team with a focus on scalable and reproducible workflows.

    This includes a platform for storing, visualising, and analysing high-resolution microscopy data and tracking all experimental data.
    Collaborate with the Machine Learning team to define and build our internal training, testing, and serving infrastructure.
    Our ideal candidate will have

    5+ years software engineering experience with full lifecycle development from design and inception to production.
    Past experience managing a team of software engineers.
    Knowledge of SQL and NoSQL technology (e.g. Snowflake, PostgreSQL, ElasticSearch, MongoDB).
    Expertise with cloud infrastructure, distributed systems, pipeline and automation tools.
    Experience with data lakes and related technologies such as Athena, BigQuery or Dremio.
    Expertise in Python and excellent knowledge of Docker, Linux, Bash, Conda, and Git.
    High standards for clear, actionable communication of data-driven processes.
    Nice to haves

    Experience in a biotechnology company or a background in biology are

    not

    necessary, but intellectual curiosity is a must

    Experience working on AI-first software products, data platforms, and machine learning infrastructure tools, and bonus if in the context of biotechnology.

    What we offer at CellVoyant


    Join at the ground level to work at the cutting-edge of artificial intelligence, stem cell biology, empirical experiment automation, and cell therapy development.

    An inclusive, collaborative and intellectually stimulating culture that puts science at the forefront of everything we do.

    A dynamic, diverse, and inclusive team of experienced and interdisciplinary scientists applying their skills to some of the most impactful problems in human health.

    Competitive salary and founding equity compensation.
    Ability to work remotely or in our Bristol, UK headquarters and join bi-annual week-long company off sites.

    The interview process:
    Initial phone screen (30 mins)
    At-home technical test
    Technical interview reviewing the test results and follow-up (90 mins)
    Meet the Team (onsite including tour 60 mins)
    How to Apply

    Does this role sound like a good fit? Email us at


    including the role's title in the subject line with your CV or personal website where we can learn about your experience.

    #J-18808-Ljbffr
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