Senior Director Mmai & Outcome Prediction – Ai For Precision Health

AstraZeneca

Not specified (assumed hybrid based on the collaborative nature of the position).
Multimodal representation learning
Survival modelling and dynamic time-to-event prediction
Causal inference methodologies
AstraZeneca is seeking a Senior Director of Multimodal AI & Outcome Prediction to lead the development of AI-driven diagnostic and predictive systems in Oncology and BioPharma. The ideal candidate will possess advanced degrees and extensive experience in AI applications, particularly in multimodal methodologies and predictive modeling. The role emphasizes collaboration across teams to enhance patient outcomes through innovative AI solutions

Job Summary

  • Lead the scientific translation of multimodal artificial intelligence and foundation model advances into clinically actionable capabilities across Oncology and BioPharma.
  • Define and drive the scientific agenda for predictive modelling by developing advanced multimodal methodologies integrating imaging, molecular diagnostics, omics data, and real-world evidence.
  • Establish enterprise-wide scientific standards for validation, deployment, and lifecycle management of multimodal AI models to ensure regulatory compliance and patient safety.

Matching Summary

Match Score: 85

AstraZeneca is seeking a Senior Director of Multimodal AI & Outcome Prediction to lead the development of AI-driven diagnostic and predictive systems in Oncology and BioPharma. The ideal candidate will possess advanced degrees and extensive experience in AI applications, particularly in multimodal methodologies and predictive modeling. The role emphasizes collaboration across teams to enhance patient outcomes through innovative AI solutions.

Skills & Requirements

Must-have

  • Multimodal representation learning
  • Survival modelling and dynamic time-to-event prediction
  • Causal inference methodologies
  • Oncology and BioPharma domain expertise
  • Regulatory-grade evidence generation
  • Real-world data integration
  • Clinical trial dataset analysis

Nice-to-have

  • Entrepreneurial mindset in innovation
  • Strategic external partnership development
  • Cross-functional leadership in matrixed orgs
  • Mentoring scientific and digital teams
  • Experience with synthetic control arms

Key Requirements

  • Advanced degree (Master's or PhD) in relevant field
  • +5 years leading AI-enabled medical projects
  • Deep mastery of survival modelling and causal inference
  • Proven experience with regulatory frameworks for AI in healthcare
  • Extensive experience with large-scale heterogeneous healthcare datasets

Work Rights

Not specified

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