This is a senior data science role with a Cambridge digital health and AI company, working on models that support diagnosis, triage and clinical decision support.
What you will do
- Own modelling across clinical and device-generated datasets from research through to validation.
- Build the evidence base that supports regulatory submission and clinical adoption.
- Partner with clinical advisers, regulatory colleagues and engineering to move models into product.
- Set standards for reproducibility, documentation and model governance.
What we are looking for
- Strong applied statistics and machine learning, ideally with health, genomics, imaging or device data.
- Python and SQL fluency, with reproducible research practice.
- Understanding of clinical validation or medical device software expectations is highly valued.
- Willingness to work hybrid from Cambridge.
Package
£75,000 to £95,000 base, plus bonus and equity. Hybrid in Cambridge.
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