AstraZeneca is transforming into an AI- and data-led enterprise, with the Predictive AI & Data team focused on turning complex information into practical, life-changing insights
Job Summary
AstraZeneca is transforming into an AI- and data-led enterprise, with the Predictive AI & Data team focused on turning complex information into practical, life-changing insights.
The Associate Director will lead data architecture, modeling, warehousing, and platform engineering to accelerate scientific decision-making across Clinical Pharmacology & Safety Science.
This role involves designing and delivering scalable, FAIR-aligned data solutions on enterprise infrastructure, partnering closely with R&D IT and DS&AI globally.
Matching Summary
AstraZeneca is transforming into an AI- and data-led enterprise, with the Predictive AI & Data team focused on turning complex information into practical, life-changing insights.
Skills & Requirements
Must-have
Data platform architecture
Data modeling and warehousing
Data integration frameworks
Infrastructure engineering
Python programming expertise
Unix/Linux HPC and cloud platforms
Nice-to-have
Generative AI and LLM exposure
Life sciences domain experience
Data governance and compliance
Streaming and batch data patterns
Key Requirements
Minimum 10+ years of relevant experience
Degree in Computer Science, Engineering, or related field, or equivalent industry experience
Proficiency with Git, CI/CD, automated testing, design patterns, and DevOps/SRE practices
Experience with dimensional modeling, semantic layers, and warehouse/lakehouse technologies