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.
Senior Data Scientist, Digital Health & AI in London employer: Take a Seat Tech
Take a Seat Tech is an exceptional employer that fosters innovation and collaboration in the rapidly evolving field of digital health and AI. With a hybrid work model based in Cambridge, employees enjoy a competitive salary, bonus, and equity options, alongside a supportive work culture that prioritises professional growth and development. The opportunity to work closely with clinical advisers and regulatory experts ensures that you will be at the forefront of impactful healthcare solutions.
