Associate Director, Apac External Innovation, R&d Data Science

Johnson & Johnson UK

Beijing, China
On-site
Ai/ml ecosystem engagement
Strategic intelligence and recommendations
External scientific and technological advances
Johnson & Johnson is seeking an Associate Director for APAC External Innovation in R&D Data Science, responsible for analyzing and engaging with the AI/ML ecosystem to inform strategic recommendations. The role requires a strong blend of computational and life sciences expertise, along with the ability to influence cross-functional stakeholders

Job Summary

  • The Associate Director, APAC External Innovation, R&D Data Science is responsible for developing deep insight into the APAC AI/ML ecosystem and translating that insight into strategic intelligence and recommendations for JJIM R&D.
  • The role focuses on ecosystem engagement, rigorous assessment, and decision support, translating external scientific and technological advances into actionable recommendations and partnership opportunities.
  • This position will be based in the J&J office in Beijing or Shanghai, with regular engagement across the broader APAC ecosystem.

Matching Summary

Match Score: 85

Johnson & Johnson is seeking an Associate Director for APAC External Innovation in R&D Data Science, responsible for analyzing and engaging with the AI/ML ecosystem to inform strategic recommendations. The role requires a strong blend of computational and life sciences expertise, along with the ability to influence cross-functional stakeholders.

Skills & Requirements

Must-have

  • AI/ML ecosystem engagement
  • strategic intelligence and recommendations
  • external scientific and technological advances
  • computational and life sciences fluency
  • cross-functional stakeholder influence

Nice-to-have

  • regional professional network
  • APAC AI/ML ecosystem familiarity

Key Requirements

  • PhD in Computer Science, AI/ML, Physics, Mathematics, Computational Biology, Biology, or a related discipline
  • Experience in external technology assessment, strategic analysis, or ecosystem evaluation
  • Strong understanding of the pharmaceutical R&D value chain and AI/ML application
  • Demonstrated ability to critically evaluate AI/ML technologies
  • Strong strategic thinking, communication, and stakeholder management skills
  • Experience working effectively in cross-functional, matrixed environments
  • ~25% travel

Work Rights

Not specified

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