Executive Director, Oncology Data Science & Ai, China

AstraZeneca

Beijing, China
**
Ai strategy for oncology r&d
Build high-performing data science team
Ai for biologics design and modeling
** AstraZeneca is seeking an Executive Director for Oncology Data Science & AI in Beijing, China, to lead the development and integration of AI technologies within their Oncology R&D division. The role involves building a high-performing team, managing a substantial budget, and establishing collaborations within China's digital health and AI ecosystems to drive innovation in oncology research. **

Job Summary

  • Spearhead the development and application of AI within Oncology R&D, establishing a world-class team and propelling our ambition to position China as a global AI innovation hub.
  • Build from the ground up a high-performing team of data scientists, AI/ML specialists, computational biologists, and translational data experts based in China.
  • Build strong external partnerships with the sophisticated ecosystem in Beijing, engaging with academia, hospitals, technology innovators, startups, and government bodies to strengthen AstraZeneca’s Oncology leadership in China.

Matching Summary

Match Score: 75

** AstraZeneca is seeking an Executive Director for Oncology Data Science & AI in Beijing, China, to lead the development and integration of AI technologies within their Oncology R&D division. The role involves building a high-performing team, managing a substantial budget, and establishing collaborations within China's digital health and AI ecosystems to drive innovation in oncology research. **

Skills & Requirements

Must-have

  • AI strategy for Oncology R&D
  • Build high-performing data science team
  • AI for biologics design and modeling
  • Foundation model literacy
  • China data governance compliance
  • External partnerships in Beijing ecosystem

Nice-to-have

  • Multi-modal oncology data integration
  • Drug discovery from silico design
  • Established network in China
  • Familiarity with generative AI

Key Requirements

  • PhD or Master’s degree
  • 5+ years leadership experience
  • Proven ability to build new organizations
  • Strong dry lab and wet lab understanding
  • Proven track record in PIPL/DSL/NMPA compliance
  • Experience leading large AI teams
  • Fluent in English and Mandarin

Work Rights

Not specified

Tailored Resume

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