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    BI Data Modeler - Cambridge, Cambridgeshire, United Kingdom - Qureight Ltd

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    Description
    It was founded by medical doctors in 2018.

    Our mission is to combine platform technology and life sciences to generate new insight and transform the way we use clinical data to improve the lives of patients with complex diseases.

    Qureight utilises AI and Machine Learning technology to curate and analyse clinical imaging data to better understand complex heart and lung diseases which allows bio-pharma and academic institutions to obtain new insights into diseases and response to treatment.

    Data Scientist

    We are building a cloud-based platform which allows clients to upload, curate and analyse their data using advanced ML techniques.

    While there will be ad-hoc data science analyses from time to time, your main focus will be on designing and implementing reproducible, maintainable and modular data science pipelines that will form part of our product offering.

    The role will involve working with Python, model research, contributing to publications and integration of data science workflows into a production quality platform.

    You will be able to work with other AI experts and feel at home working with cloud-based software stack.
    You can work independently to drive projects to completion
    2+ years of industry experience in applied data science
    Python (Pandas, Jupyter, Scikit-learn, NumPy, SciPy, Matplotlib, Seaborn, Plotly, Bokeh)
    Expert skills with data wrangling and cleaning large datasets
    SQL (PostgreSQL preferred)
    Experience of cloud providers (AWS preferred)
    Good development practices including automated testing
    Understanding of performance aspects of data science applications (e.g., Experience of working in a team using agile methodologies
    Flexible working hours
    ~ Hybrid working policy (2/3 days per year team meetings)
    ~25 days annual leave, plus bank holidays
    ~ Health Insurance
    ~ Contributory pension
    ~ Up to 1000/year enrichment fund for career/personal development
    ~ Beautiful office in the heart of Cambridge (10 min from station)
    ~ Opportunities for personal development and academic collaborations in a vibrant and fast-acting company
    ~ Opportunities for personal and professional development as we rapidly scale the company
    ~ Experience in a highly regulated industry where high-quality code is a must
    ~ Discretionary employee share options scheme

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