Senior Director Mmai & Outcome Prediction – Ai For Precision Health

AstraZeneca

MA, United States
Base: $212,994.40 - $319,491.60 usd annual; bonus/...
Multimodal ai
Outcome prediction
Computational diagnostics
You will lead the scientific translation of multimodal artificial intelligence and foundation model advances into clinically actionable capabilities across Oncology and BioPharma

Job Summary

  • You will lead the scientific translation of multimodal artificial intelligence and foundation model advances into clinically actionable capabilities across Oncology and BioPharma.
  • Your work will enable the discovery and validation of AI-derived multimodal biomarkers and computational disease taxonomies that improve early diagnosis, refine disease stratification, support companion and AI-enabled diagnostic strategies, identify comorbidities, and guide treatment selection and responder identification.
  • The role will also establish enterprise scientific standards for multimodal AI, including validation frameworks, cross-site robustness, regulatory-grade evidence generation, and performance monitoring, ensuring that AI-enabled diagnostic and predictive models can be trusted, scaled, and deployed to improve patient outcomes and accelerate precision medicine across the portfolio.

Matching Summary

You will lead the scientific translation of multimodal artificial intelligence and foundation model advances into clinically actionable capabilities across Oncology and BioPharma.

Salary

Base: $212,994.40 - $319,491.60 USD Annual; 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; and, health benefits including medical, prescription drug, dental, and vision coverage

Skills & Requirements

Must-have

  • multimodal AI
  • outcome prediction
  • computational diagnostics
  • foundation models
  • clinical development
  • real-world evidence

Nice-to-have

  • enterprise-wide capabilities
  • high-collaboration environments
  • scientific leadership
  • methodological excellence
  • strategic external partnerships

Key Requirements

  • Advanced degree (Master’s or PhD)
  • + 5 years leading AI-enabled projects
  • Expertise in multimodal AI for Oncology/BioPharma
  • Mastery of advanced machine learning
  • Experience with large-scale healthcare datasets
  • Strong scientific grounding in Oncology
  • Experience deploying AI models in clinical workflows

Work Rights

Not specified

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