Associate Principal Ai Scientist

Astrazeneca

Hybrid (3 days in office, 2 days remote)
Deep learning and ml experience
Multi-agent system design patterns
Agentic ai orchestration frameworks
AstraZeneca is seeking an Associate Principal AI Scientist to drive innovation in AI methodologies, focusing on multi-agent systems and digital twins. The role requires a strong background in deep learning, machine learning, and programming, with a preference for candidates experienced in the pharmaceutical sector

Job Summary

  • The role focuses on driving innovation in agentic AI, multi-agent systems, and digital twins to enable autonomous decision-making.
  • Candidates must collaborate with cross-functional teams to ensure knowledge transfer for IT solution builds and deployment.
  • AstraZeneca fosters a digitally-enabled environment where diverse teams work together to inspire life-changing medicines.

Matching Summary

Match Score: 85

AstraZeneca is seeking an Associate Principal AI Scientist to drive innovation in AI methodologies, focusing on multi-agent systems and digital twins. The role requires a strong background in deep learning, machine learning, and programming, with a preference for candidates experienced in the pharmaceutical sector.

Skills & Requirements

Must-have

  • Deep Learning and ML experience
  • Multi-agent system design patterns
  • Agentic AI orchestration frameworks
  • Reinforcement learning libraries
  • Python and R coding skills

Nice-to-have

  • Open-source project contributions
  • Strong publication record in AI
  • Pharmaceutical sector experience
  • Explainable AI knowledge
  • Federated learning expertise

Key Requirements

  • Bachelor's degree in CS or related field
  • Minimum 3 years of Deep Learning experience
  • Hands-on industrial experience with GenAI orchestration

Work Rights

Not specified

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