Senior Data Scientist, Digital Health & AI

Take a Seat Tech; United Kingdom; Hybride; GBP 75 000 - 95 000; Plein temps

Avantages offerts par ce poste

Bonus

Equity

Résumé du poste

Take a Seat Tech, a Cambridge-based digital health and AI company, is seeking a senior data scientist to lead modelling across clinical and device-generated datasets from research through validation.

You will build the evidence base for regulatory submissions and clinical adoption, and partner with clinical advisers, regulatory colleagues and engineering to move models into product. Hybrid work in Cambridge with a base salary of £75,000–£95,000 plus bonus and equity.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Applied statistics

Machine learning

Python

SQL

Description du poste

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.