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    Principal Biological Software Engineer - London, United Kingdom - InstaDeep

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    Description

    InstaDeep is the AI specialist for our parent company BioNTech, combining our state-of-the-art research expertise in deep learning and biology.

    We specialise in not only developing new fundamental research but also in every stage of production that research to deliver benefit.

    As a senior/principal software engineer, you will lead initiatives in collaboration with experts in AI and biology to develop software that contributes to the research and delivery of new treatments at the forefront of biological science.

    We work in diverse areas such as biomolecule manufacture, immunotherapy design, medical imaging, lab automation, and biochemical modelling.

    You will work with friendly, dedicated, exceptionally talented colleagues across multiple countries who are passionate about science and our mission to cure disease.

    This role does not have a machine learning component and is not expected to develop one with progression.

    We are looking for a candidate who is passionate about advancing the state of the art in software engineering, to partner with our AI research and biology teams to complete projects that have an impact at the level of humanity as a whole, as well as influence the technical culture at one of the world's leading biotechnology companies.

    Create innovative algorithms and system designs for state-of-the-art applications in biology.

    Formulate plans and guide their execution to balance challenging combinations of needs, including ambitious capabilities, business urgency, avoidance of technical debt and maintenance of exacting quality standards.

    Continually develop technical excellence with state-of-the-art practices in software engineering and promote it within the company.

    Master's degree or higher in computer science or a related field, or equivalent knowledge gained through professional experience.
    Experience working on large software projects across the complete product lifecycle with contributions in all main areas (planning, testing, maintenance, etc.)
    Expert knowledge of at least one of JavaScript, Python, or C#.

    Knowledge of software engineering technologies and practices relating to team collaboration and to quality, and experience instituting them in engineering teams.

    Genuine interest in biology and AI.

    Senior experience in at least one of these areas, ideally more than one:
    System architecture including cloud technologies, preferably with a data focus.
    Development of software libraries and tools including packaging and distribution with Python, Docker, or ideally both.
    Full stack development of web applications using React.

    Experience leading successfully released software products or systems.
    Professional experience or formal education relating to biology or machine learning.

    Project management.
    Software design and specification.
    C++ and high-performance computing technologies.
    DevOps, Kubernetes, deployment, and production operations.

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