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Data Analyst (Medical)

At Owlstone, we turn raw data collected from laboratory and non-laboratory environments and scientific instruments into powerful predictive models. This requires extensive signal processing and statistical inference, as well as, a rigorous adherence to the scientific method and critical evaluation of models.

Responsibilities (Key Tasks/Accountability)

  • Developing fully tested, production quality algorithms using statistical and ML techniques
  • Developing models and assessing their predictive power
  • Assessing and improving the quality of data
  • Suggesting next steps for acquiring more powerful data and features

Competencies & Requirements of the Role


  • Experience programming in python in a numerical environment
  • A sound practical knowledge of statistics and probability
  • Experience applying numerical analysis techniques on real world data
  • Experience conveying results effectively through plots and other visualisations


  • Experience working in a team environment
  • Expertise in numpy/pandas, scipy, and scikit-learn
  • Experience with signal processing
  • Experience with matplotlib, plotly or seaborn
  • Experience as a Scrum Master
  • Knowledge of other Agile approaches: XP, Kanban, etc.
  • Awareness and experience with widely successful Agile techniques: User Stories, BDD, TDD, Continuous Integration, Continuous Testing, Pairing, Automated Testing, Agile Games.
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