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

Johnson & Johnson Johnson & Johnson · Pharma · Beijing, China +1

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.

What you'd actually do

  1. Deliver structured landscape reports and technology assessments of external AI/ML capabilities in APAC relevant to JJIM R&D; contribute to JJIM’s AI/ML strategy by translating ecosystem insights into actionable recommendations
  2. Attend industry conferences, local ecosystem events, and cross-functional in-person meetings (~25% travel)
  3. Lead and support scientific, technical, and business diligence for potential partnerships, producing clear, decision‑ready diligence briefs.
  4. Drive the development and execution of strategic partnerships in collaboration with internal SMEs, transaction teams, and therapeutic area stakeholders.
  5. Collaborate closely with External Scientific Innovation team as a member of APAC Innovation Center

Skills

Required

  • PhD in Computer Science, AI/ML, Physics, Mathematics, Computational Biology, Biology, or a related discipline.
  • Experience in roles requiring rigorous external technology assessment, strategic analysis, or ecosystem evaluation (e.g., external innovation, venture, strategy, consulting, or equivalent industry roles)
  • Strong understanding of the pharmaceutical R&D value chain and the application of AI/ML across its stages.
  • Demonstrated ability to critically evaluate AI/ML technologies with sufficient technical depth to assess scientific validity, data requirements, model approaches, and deployment considerations.
  • Strong strategic thinking, communication, and stakeholder management skills, with the ability to translate technical assessments into actionable recommendations
  • Experience working effectively in cross‑functional, matrixed environments and influencing without direct authority.

Nice to have

  • Strong familiarity with the APAC AI/ML ecosystem, including academia, startups, industry, investors, and relevant policy or regulatory context
  • Established regional professional network that supports ongoing ecosystem engagement
  • Alliance Formation
  • Business Planning
  • Developing Partnerships
  • Market Expansion
  • Market Research
  • Mentorship
  • Organizing
  • Program Management
  • Relationship Building
  • Sales Enablement
  • Stakeholder Engagement
  • Strategic Change
  • Strategic Sales Planning
  • Strategic Thinking
  • SWOT Analysis
  • Technical Credibility

What the JD emphasized

  • rigorous external technology assessment
  • strategic analysis
  • ecosystem evaluation
  • critically evaluate AI/ML technologies
  • assess scientific validity
  • data requirements
  • model approaches
  • deployment considerations