Innovation Product Manager (Clinical AI Solutions)

About the role

AstraZeneca's Shanghai Jing'An office is hiring an Innovation Product Manager who works closely with clinical R&D teams to understand business needs, improve processes and deliver practical AI solutions. The role combines clinical knowledge, structured problem-solving and hands-on technical skills to turn business needs into solution designs and working prototypes, and may involve managing external partners.

Key responsibilities

• Work with clinical development, medical, clinical operations, biometrics and other teams to understand their workflows and challenges.
• Turn complex or unclear business needs into defined problems, processes, data requirements and solution designs.
• Assess and prioritise AI use cases by business value, feasibility, data readiness and risk.
• Design AI-enabled workflows and solution architectures that fit existing business processes and systems.
• Build prototypes and test key ideas with suitable AI and data tools, defining testing methods and acceptance criteria including accuracy, traceability and human review.
• Lead projects from discovery through prototyping, testing and implementation.
• Review vendor solutions and manage delivery scope, quality, timelines and knowledge transfer.
• Capture reusable methods, components and lessons from each project.

Required profile

• Bachelor's degree or above in medicine, pharmacy, life sciences, computer science, data science, engineering or a related field.
• Good understanding of clinical R&D, with experience in clinical development, medical review, clinical operations, biometrics or clinical pharmacology.
• Ability to simplify and structure complex business problems.
• Hands-on experience with Python or other programming languages, data processing, SQL and APIs.
• Experience in project delivery and vendor management.
• Strong communication skills across business and technical teams, and good written and spoken English and Chinese.
• Consulting or professional-services experience preferred; pharmaceutical R&D, clinical AI or regulated environment experience preferred.

Required skills

• Generative AI, large language models, RAG, AI agents and workflow design.
• Python or other programming languages, data processing, SQL and APIs.
• Ability to build a working prototype independently.