Executive Director, Ai For Discovery Sciences

AstraZeneca

Base: $258 157,60 - $387 236,40; bonus/equity: sho...
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Ai/ml in life sciences
Multimodal data integration
Mechanistic modeling
** AstraZeneca is seeking an Executive Director for AI for Discovery Sciences to lead their strategy in utilizing advanced AI and machine learning in drug discovery, particularly focusing on Oncology and BioPharmaceuticals. The ideal candidate will have extensive experience in discovery sciences and AI applications, with a strong emphasis on collaboration and integration across various scientific disciplines. **

Job Summary

  • We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain.
  • As Executive Director, AI for Discovery Sciences within the AI for Science Innovation Unit, you will lead AstraZeneca’s strategy for applying advanced AI and machine learning to accelerate discovery across Oncology and BioPharmaceuticals R&D.
  • Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.

Matching Summary

Match Score: 75

** AstraZeneca is seeking an Executive Director for AI for Discovery Sciences to lead their strategy in utilizing advanced AI and machine learning in drug discovery, particularly focusing on Oncology and BioPharmaceuticals. The ideal candidate will have extensive experience in discovery sciences and AI applications, with a strong emphasis on collaboration and integration across various scientific disciplines. **

Salary

Base: $258 157,60 - $387 236,40; Bonus/Equity: short-term incentive bonus opportunity; equity-based long-term incentive program; Benefits: qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; health benefits

Skills & Requirements

Must-have

  • AI/ML in life sciences
  • multimodal data integration
  • mechanistic modeling
  • early discovery analytics
  • AI-driven biology
  • molecular foundation models

Nice-to-have

  • high-collaboration environments
  • celebrate and promote reuse
  • export breakthrough ideas
  • scaling impact over isolation
  • executive presence

Key Requirements

  • PhD, MD, or equivalent
  • 10-12+ years of experience
  • Track record applying AI to discovery
  • Experience deploying AI/ML solutions
  • Strong literacy across foundation models

Work Rights

Not specified

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