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    Data Scientist/Python - Cambridge, Cambridgeshire, United Kingdom - Pop Science

    Pop Science
    Pop Science Cambridge, Cambridgeshire, United Kingdom

    3 weeks ago

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    Description

    Are you a Data Scientist with a strong interest in clinical trials? We have a great role with a growing client with a strong specialisation in risk based quality management RBQM in clinical trials.

    Our client takes pride in our open and collaborative company culture - it's at the heart of everything we do.

    Experience in data modelling, using statistical methods to identify behavioural and data patterns.

    Industry experience would be advantageous, but this is not clinical endpoint analysis so a different way of thinking about data and stats modelling is required.

    An interest and/or experience in machine learning models would also be an advantage but not essential.

    This role will require you to write reproducible, robust code and so an understanding of the importance of good software development practices and interest in this area would be beneficial.

    Creative and visionary
    Ability to take responsibility for the consistency and quality of deliverables
    Strong foundational knowledge of statistics (Hypothesis testing, point estimation, confidence intervals, numerical summaries, common distributions...)
    Experience in statistical modelling and regression analysis
    Programming skills in and statistical modelling skills in R and/or Python.
    Experience/interest in application of Machine Learning
    Ability to demonstrate and apply critical thinking to KRI and data visualization design and centralized monitoring implementation
    Ideally an understanding of clinical trial data and data structure
    Desirable to have an understanding of software development practices (Agile, a collaboration tool such as Git, Testing/validation strategies, containerisation/similar)

    As a highly valued team member, you can expect to be offered the right environment, compensation, and development opportunities to allow you to focus on being successful, and to support your colleagues to do the same.

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