Executive Director, Ai For Discovery Sciences

AstraZeneca

Base: $258 157,60 - $387 236,40; bonus/equity: sho...
Not specified
Ai/ml in life sciences
Multimodal data integration
Mechanistic modeling
AstraZeneca is seeking an Executive Director for AI in Discovery Sciences to lead the integration of advanced AI and machine learning strategies within their Oncology and BioPharmaceuticals R&D. The ideal candidate will possess significant experience in discovery science and AI applications, with a focus on collaboration and strategic leadership

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.
  • The annual base salary for this position in the US ranges from $258 157,60 - $387 236,40. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program.

Matching Summary

Match Score: 85

AstraZeneca is seeking an Executive Director for AI in Discovery Sciences to lead the integration of advanced AI and machine learning strategies within their Oncology and BioPharmaceuticals R&D. The ideal candidate will possess significant experience in discovery science and AI applications, with a focus on collaboration and strategic leadership.

Salary

Base: $258 157,60 - $387 236,40; Bonus/Equity: short-term incentive bonus opportunity, equity-based long-term incentive program; Benefits: 401(k) plan, paid vacation and holidays, paid leaves, medical, prescription drug, dental, and vision coverage

Skills & Requirements

Must-have

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

Nice-to-have

  • high-collaboration environments
  • scaling impact
  • cross-functional problems
  • reuse of capabilities

Key Requirements

  • PhD, MD, or equivalent degree
  • 10-12+ years experience
  • Track record applying AI to discovery
  • Experience deploying AI/ML solutions
  • Executive presence

Work Rights

Not specified

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