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    BI Data Modeler - Cambridge, Cambridgeshire, United Kingdom - electronRx

    electronRx
    electronRx Cambridge, Cambridgeshire, United Kingdom

    2 weeks ago

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    Description
    Data Scientist - AI Digital Health

    Enter into an ambitious, empowered and fulfilling day-to-day where you are advancing our understanding of what's possible in healthcare.

    The eRx team is a place where your work has the potential to impact quality of life across the globe; Our mission is to build the interface between technology, the human body and healthcare organisations that will transform how we deliver healthcare and treat disease.

    We're a deep tech company, based in Cambridge, UK, with a fast-growing team driving the development and commercialisation of our novel disease management and hospital patient flow technologies that pave the way for personalised digital medicine.

    As a group of interdisciplinary scientists, engineers and commercial people, we hold an inherent appreciation for the value created by diverse perspectives and we're proud to be an enjoyable, open and respectful work environment for ALL, regardless of background or identity.

    Highest quality innovation; solving real problems with scientific rigour and evidence-based value
    Improving healthcare for everyone, everywhere through scalable technologies that remove barriers to access
    Thinking outside the box with a fresh, deep tech approach that drives creative solutions to complex problems
    Putting the human in health tech with patient-centric design built by people who care

    We are a hybrid work environment offering a combination of in-office and remote working.

    As a Data Scientist, you will be expected to work with large amounts of healthcare-related data, process it at scale, research approaches from the relevant literature, test ideas and concepts in collaboration with other data scientists, and deploy models to the cloud.

    This is a role that will combine aspects of deep ML and healthcare research, testing ideas and models on real-world medical data, and contributing towards the overall direction of our data science efforts.

    We are an open and ambitious team of scientists and engineers, keen to make a big impact in digital healthcare, and we believe this is a rare opportunity for someone that sees the trend towards the digitalisation of healthcare and is fascinated by such technological challenges.

    Data preparation, exploration, and analysis of large datasets encompassing sensor, video, audio, and patient demographic data
    Perform clinical data collection
    Devising techniques for data capture/analysis, and building rapid prototypes and proofs of concept
    Develop and test statistical algorithms or machine learning models on real-world medical data
    Contributing towards internal software libraries and code reviews
    Ability to work on multiple ongoing projects with varying requirements, timescales and budgets

    Bachelor's in a STEM or related field (Master's or PhD preferred)
    ~2+ years of experience with Python, machine learning libraries (e.g. scikit-learn, TensorFlow, PyTorch), cloud platforms (e.g. AWS, Firebase) and SQL/NoSQL databases.
    ~ Strong communicator and ability to interact well with both other data scientists and non-technical audiences
    ~ Comfortable in adopting and testing new ideas and approaches from cutting-edge research
    ~ Enthusiasm for digital health and desire to do well with the work you do
    ~ Experience as a data scientist or similar role
    Medical and/or signal processing domain knowledge
    Experience with developing and testing CNNs, RNNs, and transformer models
    Computer vision knowledge
    Experience with C/C++ programming
    A demonstrable interest and/or experience working in digital health, digital therapeutics, or the medical technology industry in general

    An opportunity to work with some of the most talented experts from numerous different fields.
    Flexible hours in a hybrid workplace.
    Invaluable experience in building a company and a product from the ground up.
    A budget for training courses in areas that will benefit you and us
    A central Cambridge office with secure parking and bike storage.
    How We Approach Diversity & Inclusion

    Diversity, inclusion and equal opportunity are at the very core of who we are. We're working to improve healthcare for everyone, everywhere; shifting the paradigm from generalised to personalised medicine where every patient is treated as the unique individual they are, and we take the same approach to building out our team
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