Director, Clinical AI & Data Science

ASTRAZENECA UK LIMITED; Cambridge; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

AstraZeneca UK Limited is building an Enterprise AI engine to accelerate clinical development. You will lead AI methodology across BioPharmaceuticals, shaping trial design, biomarker strategy, and safety evaluation with rigorous regulatory alignment.

The role requires PhD-level expertise with 4–8 years post-PhD in AI for clinical or biomedical settings, and strong software engineering with Python/PyTorch. Hybrid work model and global collaboration are expected.

Qualifications

• PhD in Computer Science, Machine Learning, Statistics, Mathematics, Biomedical Informatics, Computational Biology, or a closely related quantitative discipline with a strong hands-on computational track record.
• 4-8 years of post-PhD experience in AI and machine learning method development with demonstrable impact in clinical/biomedical or drug development settings.
• Deep experience and understanding of one or more biology fields, with hands-on experience working with biological data.

Responsibilities

• Define and drive the AI methodology roadmap for assigned Clinical AI programmes, spanning early and late phase clinical development.
• Lead, by matrix influence and scientific authority, delivery of complex AI projects from problem definition through validation, regulatory alignment, and scaled adoption.
• Develop and govern reusable, enterprise-grade AI methods for clinical trial settings and biomarker discovery, digital twins, and modelling.

Skills

AI/ML problem solving

Cross-functional leadership

Python

PyTorch

Regulatory awareness

Scientific communication

Education

PhD in Computer Science, Machine Learning, Statistics, Mathematics, Biomedical Informatics, Computational Biology, or closely related

Tools

Python

PyTorch

Cloud platforms (AWS/Azure/GCP)

Job description

AstraZeneca UK Limited is building an Enterprise AI engine to accelerate clinical development. You will lead AI methodology across BioPharmaceuticals, shaping trial design, biomarker strategy, and safety evaluation with rigorous regulatory alignment.

The role requires PhD-level expertise with 4–8 years post-PhD in AI for clinical or biomedical settings, and strong software engineering with Python/PyTorch. Hybrid work model and global collaboration are expected.