Executive Director, AI for Clinical Intelligence and Evidence
AstraZeneca
Summary
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.
Job description
Typical Accountabilities
1. Strategy, Portfolio & Foundation Model Ownership
As the enterprise lead for AI-enabled evidence across priority therapeutic areas, you will define and execute a multi-year strategy for how AstraZeneca designs, validates, industrializes, and externalizes AI-driven evidence capabilities across the full product lifecycle.
- How AI capabilities transition from isolated analyses to repeatable, portfolio-wide evidence engines
- How AI integrates clinical trial data, real-world data, biomarker information, and multimodal inputs into continuously learning evidence frameworks
- How disease-specific and multimodal foundation models are developed, validated, governed, and scaled across the portfolio
- How AI-generated evidence assets can be externalized and positioned within health system ecosystems, aligned with population health and value-based care models
2. Integration of Clinical, Real-World & Multimodal Evidence
Establish enterprise standards and scalable operating models to transform multimodal clinical and real-world data into decision-grade evidence. Define and industrialize AI-enabled methodologies to:
- Identify responder subgroups and treatment heterogeneity in clinical trials
- Model disease progression and predict treatment response using multimodal datasets
- Generate synthetic or external control arms when appropriate
- Continuously validate trial findings through real-world monitoring
- Enable real-time outcome tracking aligned with value demonstration
3. Governance, Scientific Rigor & Decision Integration
Embed AI-enabled evidence outputs into formal governance forums across development, medical planning, access strategy, and lifecycle management. Establish enterprise standards for responsible AI use in evidence generation, including model validation, monitoring, transparency, auditability, and human accountability.
4. Regulatory, HTA & External Leadership
Position AstraZeneca as a global leader in the responsible use of AI-enabled and real-world evidence. Engage with regulators and scientific bodies to advance credible and transparent application of AI-driven methodologies across the product lifecycle, including post-approval validation and continuous evidence monitoring.
5. AI-Enabled Data, Ecosystem & Commercialization Strategy
Define strategic priorities for AI-ready data partnerships aligned to therapeutic and asset-level evidence needs. Establish clear plans for securing harmonized, high-quality multimodal datasets, integrating clinical, claims, imaging, genomic, and biomarker data into scalable evidence infrastructures, governing data use under strong compliance and privacy frameworks, and enabling external deployment of AI-enabled evidence solutions within health system platforms.
6. Organizational Leadership
Build and lead a multidisciplinary team combining expertise in clinical development, epidemiology, real-world evidence, data science, and advanced analytics. Develop enterprise capability at the intersection of clinical science, AI transformation, and product lifecycle strategy.
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
Benefits
- 401(k) Matching
- Paid Vacation
- Paid Holidays
- Paid Leaves
- Medical, Dental & Vision
- Prescription Drug Coverage
- Short-Term Incentive Bonus
- Equity Long-Term Incentive
Company overview
AstraZeneca is a global, science-led, patient-focused pharmaceutical company dedicated to accelerating the delivery of life-changing medicines that create enduring value for patients, society, and shareholders. With a workforce of over 94,300 employees worldwide, the company operates across three core therapy areas: Oncology, BioPharmaceuticals (including Cardiovascular, Renal & Metabolism, Respiratory & Immunology), and Rare Disease. Headquartered in Cambridge, UK, AstraZeneca maintains strategic R&D centers in Cambridge, Gaithersburg (US), Boston (US), Gothenburg (Sweden), Shanghai, and Beijing. The company generated $54.1 billion in total revenue in 2024 and invested $13.6 billion in scientific research and development. AstraZeneca's bold aspiration is to be pioneers in science, lead in disease areas, and transform patient outcomes, with a goal to launch 20 new medicines and achieve $80 billion in total revenue by 2030. The company is recognized for its commitment to sustainability, health equity, and creating an inclusive work environment where diverse perspectives drive innovation.