Senior Director Mmai & Outcome Prediction – Ai For Precision Health
AstraZeneca
Multimodal representation learning
Survival modelling and dynamic prediction
Causal inference methodologies
This role leads the scientific translation of multimodal artificial intelligence and foundation model advances into clinically actionable capabilities across Oncology and BioPharma
Job Summary
This role leads the scientific translation of multimodal artificial intelligence and foundation model advances into clinically actionable capabilities across Oncology and BioPharma.
The position requires defining and driving the scientific agenda for predictive modelling by integrating imaging, molecular diagnostics, omics data, and real-world evidence.
Success is measured by adoption and scale, requiring the ability to turn complex cross-functional problems into reusable enterprise-wide capabilities.
Matching Summary
This role leads the scientific translation of multimodal artificial intelligence and foundation model advances into clinically actionable capabilities across Oncology and BioPharma.
Skills & Requirements
Must-have
Multimodal representation learning
Survival modelling and dynamic prediction
Causal inference methodologies
Oncology and BioPharma expertise
Regulatory-grade evidence generation
Real-world data integration
Nice-to-have
Cross-functional collaboration skills
Strategic external partnership building
Mentoring scientific teams
Entrepreneurial mindset in innovation
Executive-level influence
Key Requirements
Advanced degree (Master's or PhD) in relevant field
+5 years leading AI-enabled medical projects
Deep mastery of advanced machine learning methodologies
Experience with regulatory compliance frameworks
Proven track record in large-scale digital health programs