GenAI Strategy Lead – Chemical Development

AstraZeneca GmbH

Macclesfield

On-site

GBP 180,000 - 240,000

Full time

14 days+

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Job summary

AstraZeneca is seeking a Director, Generative AI – Chemical Development to lead the GenAI strategy across Chemical Development, aligning with CMC milestones, quality, and compliance while embedding intelligent automation into scientists' workflows.

You will define the multi-year GenAI roadmap, govern AI use, drive value through reporting, knowledge management, and decision-support, and partner with scientific, regulatory, IT, and data teams to deliver scalable solutions.

Qualifications

  • Strong understanding of Generative AI, ML, and digital technologies.
  • Experience leading multidisciplinary teams and influencing senior stakeholders.
  • Proven ability to lead organisational transformation and technology adoption.
  • Excellent strategic thinking, communication, and executive influencing skills.
  • Application of GenAI in a scientific setting, with knowledge of chemical development workflows.
  • Expertise in LLMs, RAG, AI agents, and prompt engineering.
  • Proven ability to translate scientific workflows into AI use cases and product requirements.
  • Understanding of GxP, data integrity, compliance, and governance.
  • Experience leading cross-functional digital or AI initiatives.
  • Strong communication and stakeholder management skills.
  • Experience with scientific documentation, knowledge management, and regulated data.

Skills

Generative AI
Machine learning
Scientific informatics
Automation
Digital technologies
Leadership
Stakeholder management
Strategic thinking
Executive influencing
GenAI in science
LLMs / AI agents

Job description

AstraZeneca is seeking a Director, Generative AI – Chemical Development to lead the GenAI strategy across Chemical Development, aligning with CMC milestones, quality, and compliance while embedding intelligent automation into scientists' workflows.

You will define the multi-year GenAI roadmap, govern AI use, drive value through reporting, knowledge management, and decision-support, and partner with scientific, regulatory, IT, and data teams to deliver scalable solutions.

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