Senior Director Mmai & Outcome Prediction – Ai For Precision Health

AstraZeneca

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Multimodal representation learning
Survival modelling and dynamic time-to-event prediction
Causal inference methodologies
** AstraZeneca is seeking a Senior Director for Multimodal AI & Outcome Prediction to lead the scientific development of AI technologies in oncology and biopharma. The role involves integrating various data sources to create predictive models and diagnostic capabilities that enhance patient outcomes and support precision medicine. **

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 scalability.

Matching Summary

Match Score: 75

** AstraZeneca is seeking a Senior Director for Multimodal AI & Outcome Prediction to lead the scientific development of AI technologies in oncology and biopharma. The role involves integrating various data sources to create predictive models and diagnostic capabilities that enhance patient outcomes and support precision medicine. **

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

Nice-to-have

  • Entrepreneurial mindset in innovation
  • Cross-functional strategic alignment
  • External partnership development
  • Mentoring scientific teams
  • High-collaboration environment experience

Key Requirements

  • Advanced degree (Master's or PhD) in Biomedical Engineering, Data Science, or related field
  • +5 years leading AI-enabled medical or biological projects
  • Deep hands-on 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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