Associate Principal AI Data Scientist
Workplace: Göteborg, Sverige
Expires: August 28, 2025
Join AstraZeneca as an Associate Principal AI Data Scientist to drive innovation in agentic AI, multi-agent systems, and HITL multi-agent systems, transforming drug development through advanced data science methods and AI strategies. This role supports pharmaceutical development projects to deliver effective and groundbreaking medicines.
Main requirements:
- Advanced degree in computer science, data science, AI, machine learning or related fields.
- Expertise in designing multi-agent patterns, digital twins and agentic AI design patterns.
- Proven industrial experience in reinforcement learning and applied machine learning domains such as deep learning, causal ML, transfer learning.
- Excellent coding skills in Python and R.
- Hands-on industrial experience with AI/ML frameworks like TensorFlow and PyTorch.
- Experience with generative AI orchestration frameworks such as LangGraph and CrewAI.
Responsibilities:
- Drive innovation in agentic AI, multi-agent systems, and digital twins by exploring new methodologies and applications.
- Design, implement, and optimize algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins.
- Evaluate agent performance considering decision making, collaboration, competition, and uncertainty.
- Lead machine learning initiatives in drug development projects.
- Collaborate with cross-functional teams and ensure knowledge transfer to IT engineering for solution build and deployment.
- Keep updated with industry advances by reviewing academic literature and participating in conferences.
- Publish scientific findings and represent the company in scientific forums.
- Communicate technical concepts and results effectively to diverse audiences.
Required hard skills:
- Advanced degree in relevant fields (computer science, AI, data science).
- Programming in Python and R.
- Designing multi-agent systems and agentic AI.
- Reinforcement learning.
- Usage of AI/ML frameworks (TensorFlow, PyTorch).
- Experience with GenAI orchestration frameworks (LangGraph, CrewAI).
- Applied machine learning in domains such as deep learning, causal ML, transfer learning.
Recommended hard skills:
- Contributions to open-source projects (highlight GitHub PRs).
- Strong publication record in AI.
- Experience in pharmaceutical sector multi-agent system design.
- Machine learning applications in pharmaceutical development, chemical engineering, or chemistry.
- Experience with federated learning, few/zero shot learning, meta learning, explainable AI.
Soft skills:
- Innovative thinking
- Collaboration and cross-functional teamwork
- Effective communication with technical and non-technical audiences
- Adaptability and continuous learning
- Ability to work independently as individual contributor
Coding languages:
- Python
- R
Frameworks:
- TensorFlow
- PyTorch
- LangGraph
- CrewAI
Natural languages:
- English (Proficient)
Cultural skills:
- Embraces change
- Patient- and business-centric mindset
- Sharing learnings to scale innovations
- Flexibility balancing office presence and remote work
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