Executive Director, Oncology Data Science & Ai, China

AstraZeneca

Beijing, China
**
Oncology data science & ai strategy
Build high-performing ai team
Ai for biologics design
** AstraZeneca is seeking an Executive Director of Oncology Data Science & AI in Beijing, China, to lead the development and integration of AI technologies within Oncology R&D. The ideal candidate will have significant experience in data science and oncology, with a focus on building high-performing teams and driving innovation in drug discovery. **

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 of Oncology Data Science & AI in Beijing, China, to lead the development and integration of AI technologies within Oncology R&D. The ideal candidate will have significant experience in data science and oncology, with a focus on building high-performing teams and driving innovation in drug discovery. **

Skills & Requirements

Must-have

  • Oncology Data Science & AI strategy
  • Build high-performing AI team
  • AI for biologics design
  • Foundation model literacy
  • China data governance compliance
  • External partnerships in Beijing

Nice-to-have

  • Multi-modal oncology data integration
  • Drug discovery silico design
  • Established China network
  • Generative AI expertise

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

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