AI Research Scientist
Core
Senior AI Research Scientist developing advanced machine learning methods for oncology clinical development, study design, and decision-making to accelerate safe and effective treatments.
Role type
Senior IC AI Research Scientist (Oncology Clinical Development)
Builds
Novel AI solutions for clinical study design, execution, strategy, and decision-making in oncology
Domain
Biopharma / Oncology / Clinical Development / Machine Learning
Deliverable
production ML models
Required skills
Machine learning fundamentals, software development, coding-agent frameworks, foundation models, Bayesian inference, temporal modelling, reinforcement learning, multimodal integration, model calibration, domain adaptation, data-centric AI, model interpretability, multi-agent systems
Preferred skills
Biology/biomedical research, molecular data (DNA/RNA/proteins), imaging data, clinical text/EHR, clinical trial design, regulatory science, agentic tools
Technologies
Frontier coding-agent frameworks, foundation models, Bayesian inference tools, temporal modelling libraries, reinforcement learning frameworks, multimodal integration stacks, multi-agent systems
Responsibilities
Lead technical delivery of complex AI initiatives; Evaluate and develop advanced AI methods across problem definition, data strategy, governance, algorithm development, validation, and adoption; Create and validate novel AI solutions for clinical study design, execution, strategy, and decision-making; Apply data, models, and insights across cancer biology and multiple drug modalities; Collaborate across key Oncology areas including hematology, cell therapy, antibody-drug conjugates, small molecules, and biologics; Represent AstraZeneca at scientific conferences, standards bodies, and peer-reviewed venues; Contribute first-author research to leading machine learning and clinical AI journals
Seniority
Senior, hands-on IC
