Executive Director, AI for Clinical Intelligence and Evidence

AstraZeneca • Boston, MA

4d

About The Position

The Executive Director, AI for Clinical Intelligence and Evidence is a senior enterprise leader responsible for defining how AstraZeneca designs, validates, scales, and externalizes AI-driven evidence capabilities across the full lifecycle of its medicines.
This role establishes and leads a critical capability within the AI to Transform Care (AITC) organization, integrating clinical trial data, real-world data, multimodal biomarker inputs, and advanced analytics into continuously learning evidence ecosystems.
Beyond traditional evidence generation, this function is accountable for:
Designing and governing disease-specific and multimodal foundation models that integrate clinical, molecular, imaging, and real-world data to support continuously learning evidence ecosystems.
Defining how these foundation models are validated, regulated, and made HTA- and payer-acceptable.
Translating insights into decision-grade evidence that directly informs development strategy, regulatory interactions, medical planning, access positioning, and lifecycle management.
Orchestrating AI-driven analytical and agentic workflows that transform integrated data into continuously generated, decision-ready evidence embedded within development, regulatory, and commercial processes.
Enabling scalable deployment of AI-enabled evidence capabilities across health systems through strategic partnerships (e.g., EMR-embedded solutions, real-world care networks, and federated data ecosystems).
Establishing closed-loop, continuously learning evidence systems that feed real-world outcomes back into development, regulatory, medical, and commercial decision-making.
Defining commercialization pathways for AI-enabled evidence assets, including external value creation models aligned with population health and value-based care frameworks.
The objective is to transition AstraZeneca from episodic evidence generation to continuously learning, AI-enabled evidence infrastructures that support precision medicine, real-time value demonstration, and sustainable market access.
Support all Tier 1 Ph3ID and Tier 1 COMMID’s with RWE and AI packages for development providing +5pp PTS for clinical relevance and +2 months commercial optimization for launches by 2030
Support Key Disease Area Strategies with AI enabled RWE packages
Influence semantic layers to reflect strategic vision of AISI & AITC
Pioneer AITC, AISI, EDE, Clinical Intelligence and Evidence operating model
Overall, this function positions AI-generated evidence and foundation models not as analytical tools, but as strategic enterprise assets, driving differentiation in development, accelerating access, strengthening payer confidence, and enabling scalable transformation of care.

Requirements

• Advanced degree (PhD, MD, or MSc) in Statistics, Epidemiology, Data Science, Mathematics, or related field.
• 15+ years of experience in biopharma with deep expertise in clinical development and evidence strategy across the product lifecycle.
• Demonstrated leadership of global, matrixed teams with enterprise-level influence.
• Proven experience applying AI and advanced analytics to clinical and real-world datasets.
• Experience influencing evidence planning, and portfolio-level strategy.
• Strong understanding of clinical trial design, progression modelling, and RWE applications.
• Demonstrated ability to translate complex outputs into clear, decision-ready insights.
• Strong knowledge of regulatory and payer expectations for real-world validation, evidence generation, and value demonstration.
• Excellent communication, executive presence, and cross-functional alignment capabilities.

Nice To Haves

• Experience in oncology, precision medicine, or other biomarker-driven therapeutic areas.
• Experience deploying AI-driven evidence capabilities across multiple assets or portfolios.
• Experience with synthetic control arm methodologies and comparative modelling.
• Experience engaging directly with regulators and HTA bodies on advanced evidence methodologies.
• Experience overseeing AI/ML model lifecycle governance, validation, and monitoring in production environments.
• Experience building and scaling multidisciplinary teams combining clinical and AI expertise.
• Exposure to enterprise data platforms and large-scale multimodal data integration initiatives.

Responsibilities

• Strategy, Portfolio & Foundation Model Ownership
• Integration of Clinical, Real-World & Multimodal Evidence
• Governance, Scientific Rigor & Decision Integration
• Regulatory, HTA & External Leadership
• AI-Enabled Data, Ecosystem & Commercialization Strategy
• Organizational Leadership

Benefits

• qualified retirement program [401(k) plan]
• paid vacation and holidays
• paid leaves
• health benefits including medical, prescription drug, dental, and vision coverage

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: Ph.D. or professional degree