Director, AI for Oncology Clinical Development

AstraZeneca plc

Cambridge (MA)

Hybrid

USD 186,000 - 279,000

Full time

4 days ago
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Benefits offered by this job

Retirement plan
Paid time off
Health insurance
Dental insurance
Vision insurance

Job summary

AstraZeneca plc in Cambridge, MA (USA) is seeking a Director to lead the AI for Clinical Development program. You will define and deliver the AI strategy across oncology, biometrics, regulatory, and study teams, shaping enterprise-scale solutions and cross-functional collaboration.

This role demands deep ML expertise, a PhD, and 4–8 years post‑doc industry impact, plus the ability to mentor scientists and drive adoption of AI methods in clinical studies while working in a hybrid office setting.

Qualifications

  • PhD in a quantitative discipline.
  • 4–8 years’ work experience outside of PhD with measurable impact.

Responsibilities

  • Define and drive the AI strategy and roadmap for Oncology early and late phase clinical development, aligning AI/ML priorities with clinical and business objectives.
  • Lead, by matrix influence and scientific authority, delivery of complex, high-stakes AI projects.
  • Evaluate, develop, and champion cutting-edge AI methods across problem definition, data considerations, governance, and validation.
  • Build cross-functional relationships to embed AI strategy into study design and decision-making.
  • Establish and maintain external collaborations to access novel capabilities and advance the AI roadmap.

Skills

AI/ML expertise
Leadership
Communication

Education

PhD in a quantitative discipline

Job description

AstraZeneca plc in Cambridge, MA (USA) is seeking a Director to lead the AI for Clinical Development program. You will define and deliver the AI strategy across oncology, biometrics, regulatory, and study teams, shaping enterprise-scale solutions and cross-functional collaboration.

This role demands deep ML expertise, a PhD, and 4–8 years post‑doc industry impact, plus the ability to mentor scientists and drive adoption of AI methods in clinical studies while working in a hybrid office setting.

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