Agentic AI Scientist
AstraZeneca · Gaithersburg, MD
ResearchFull-timeCompany career page
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Role summary
AstraZeneca seeks an Agentic AI Scientist to advance multi-agent systems and digital twins for pharmaceutical development. The role combines data science expertise with cutting-edge AI methodologies to transform drug discovery and formulation processes within the Pharmaceutical Technology and Development department.
What they're looking for
- Master's degree in computer science, data science, artificial intelligence, or machine learning
- At least 3 years of industrial deep learning and machine learning experience
- Proficiency in Python or R with strong coding fundamentals
- Hands-on experience designing multi-agent systems, digital twins, and agentic AI patterns
- Demonstrated expertise with reinforcement learning frameworks such as OpenAI Gym, Ray RLlib, or Stable Baselines
- Experience with ML frameworks including TensorFlow and PyTorch
- Practical experience with GenAI orchestration frameworks like LangGraph or CrewAI
What you'll be doing
- Drive innovation in agentic AI, multi-agent systems, and digital twins through methodological exploration
- Design and optimize algorithms for autonomous decision-making using MDPs, POMDPs, and multi-agent reinforcement learning
- Evaluate agent performance across decision-making, collaboration, and uncertainty contexts
- Collaborate with cross-functional teams and transfer knowledge to IT engineering for solution deployment
- Publish research in peer-reviewed journals and communicate technical findings to diverse audiences
Compensation$144,648.80 - $216,973.20 annual base
Privacy & handoff
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