AI Research Lead, AI for Oncology Clinical Development

AstraZeneca · Barcelona, Spain

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Role summary

Associate Director role leading AI research and engineering for oncology clinical development. The position focuses on designing and deploying machine learning solutions to improve trial efficiency, patient outcomes, and decision-making across late-stage oncology programs.

What they're looking for

PhD in quantitative discipline (computer science, bioinformatics, computational biology, mathematics, physics, biostatistics, or related field)
2-5 years post-PhD work experience with demonstrated impact in AI/ML delivery or research
Advanced software development and coding proficiency with modern ML frameworks
Deep machine learning expertise in areas such as foundation models, Bayesian inference, temporal modeling, or model interpretability
Experience with biological data types: molecular, imaging, or clinical text data
Familiarity with drug development including clinical trial design, biomarkers, dosing, or regulatory pathways

What you'll be doing

Co-own and evolve AI strategy for early and late-phase oncology clinical development, prioritizing high-impact opportunities
Serve as principal technical lead for complex AI programs, ensuring scientific rigor and regulatory compliance
Partner with clinical, biometrics, and regulatory teams to integrate AI solutions into study design and portfolio decisions
Design evaluation frameworks and validation protocols to ensure model reliability and real-world clinical applicability
Build collaborations with academic and technology partners; publish research in ML and clinical AI journals

Key requirements

Therapeutic area: Oncology

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