Associate Director, APAC External Innovation, R&D Data Science

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at .

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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

The role requires strong bilingual fluency across computational and life sciences combined with strategic judgment operational rigor and the ability to influence crossfunctional stakeholders.

This position will be based in the J&J office in Beijing or Shanghai with regular engagement across the broader APAC ecosystem.

Summary

• Track and interpret emerging AI/ML innovations regulatory developments and partnership activity across the APAC life sciences ecosystem

• Evaluate APAC AI/ML capabilities in the context of the global innovation landscape and JJIMs existing internal and external capabilities

• Provide rigorous diligence assessment and decision support to external engagement opportunities

• Synthesize external insights into recommendations that inform JJIMs AI/ML and external innovation strategy.

• Contribute to regional sourcing strategy as a member of JJIMs APAC Innovation Center

Responsibilities:

• Deliver structured landscape reports and technology assessments of external AI/ML capabilities in APAC relevant to JJIM R&D; contribute to JJIMs AI/ML strategy by translating ecosystem insights into actionable recommendations

• Attend industry conferences local ecosystem events and cross-functional in-person meetings (25% travel)

• Lead and support scientific technical and business diligence for potential partnerships producing clear decisionready diligence briefs.

• Drive the development and execution of strategic partnerships in collaboration with internal SMEs transaction teams and therapeutic area stakeholders.

• Collaborate closely with External Scientific Innovation team as a member of APAC Innovation Center

Requirements

• 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 crossfunctional matrixed environments and influencing without direct authority.

• Strong familiarity with the APAC AI/ML ecosystem including academia startups industry investors and relevant policy or regulatory context preferred

• Established regional professional network that supports ongoing ecosystem engagement preferred

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