Associate Principal Ai Scientist

AstraZeneca

Durham, North Carolina, USA
**
Deep learning and machine learning experience
Multi-agent system design patterns
Agentic ai orchestration frameworks
** AstraZeneca is seeking an Associate Principal AI Scientist in Durham, North Carolina, to leverage expertise in Agentic AI and multi-agent systems to enhance their drug development processes. The ideal candidate will have a strong background in deep learning, machine learning, and relevant programming languages, making significant contributions to cross-functional pharmaceutical projects. **

Job Summary

  • This role involves driving innovation in agentic AI and multi-agent systems to revolutionize AstraZeneca's drug development processes.
  • Candidates will collaborate with cross-functional global teams to co-develop sophisticated human-in-the-loop systems and deploy IT solutions.
  • The position offers a hybrid work model requiring three days in the Durham office to foster bold thinking and connection within diverse teams.

Matching Summary

Match Score: 75

** AstraZeneca is seeking an Associate Principal AI Scientist in Durham, North Carolina, to leverage expertise in Agentic AI and multi-agent systems to enhance their drug development processes. The ideal candidate will have a strong background in deep learning, machine learning, and relevant programming languages, making significant contributions to cross-functional pharmaceutical projects. **

Skills & Requirements

Must-have

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

Nice-to-have

  • Open-source project contributions
  • Strong publication record in AI
  • Experience in pharmaceutical sector
  • Knowledge of federated or meta learning
  • Explainable AI applications

Key Requirements

  • Minimum Bachelor's degree in CS, Data Science, or related field
  • At least 3 years of Deep Learning and ML experience
  • Industrial experience with TensorFlow and PyTorch frameworks

Work Rights

Not specified

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