Director, AI for Clinical Intelligence & Evidence Lung, Head & Neck
AstraZeneca
Summary
As Director, AI for Clinical Intelligence & Evidence Lung, Head & Neck, you will work on the end-to-end evidence strategy for the Lung, Head & Neck therapeutic area, spanning the full continuum from R&D to patient care and ensuring evidence is aligned to the highest-priority scientific, medical, and business needs across the product lifecycle.
Job description
Accountabilities
- Collaborate with the Lung, Head & Neck CIE team to define and evolve the Clinical Intelligence & Evidence strategy, translating portfolio priorities and emerging scientific questions into a clear roadmap.
- Identify and prioritize the evidence gaps most likely to influence portfolio investment decisions, particularly at key development milestones.
- Partner with Translational Science and Clinical Development to integrate relevant multimodal evidence into asset investment decisions and portfolio risk assessment.
- Build Lung-specific intelligence that persists and extends within the PH3ID Intelligence Foundation.
- Mobilise relevant scientific, clinical, data and AI expertise around priority questions and create alignment across multidisciplinary stakeholders.
- Partner with other Clinical Intelligence & Evidence teams to share expertise, develop common capabilities and scale valuable AI approaches.
- Translate findings into clear, actionable insights for stakeholders and adapt priorities as needs and evidence evolve.
- Help shape the wider Clinical Intelligence & Evidence operating model, promoting collaboration across disease-area teams.
Education, Qualifications, Skills and Experience
Essential: Advanced degree (PhD, PharmD, MD, or equivalent) in epidemiology, biostatistics, health economics, clinical science, or a quantitative discipline relevant to evidence generation. 5+ years of experience in evidence generation, RWE, health outcomes research, or a related function within pharma, biotech, or a leading academic or consultancy environment. Track record of translating complex analytical outputs into strategic recommendations. Expert command of oncology real-world data assets. Experience at the interface of Translational Science, Clinical Development and Market Access. Strong foundation in evidence generation methodologies. Experience with regulatory submissions or HTA dossiers leveraging RWE. Solid understanding of multimodal modeling approaches.
Desirable: Experience within Oncology and, particularly, Lung, Head & Neck portfolios. Familiarity with AI/ML applications in RWE. Prior experience shaping or contributing to AI-enabled evidence platforms. Experience working across therapeutic-area, scientific and AI teams in a global matrix organisation.
Requirements
- Advanced degree (PhD, PharmD, MD, or equivalent) in epidemiology, biostatistics, health economics, clinical science, or a quantitative discipline relevant to evidence generation
- 5+ years of experience in evidence generation, RWE, health outcomes research, or a related function within pharma, biotech, or a leading academic or consultancy environment
- Track record of translating complex analytical outputs into strategic recommendations that advise portfolio decisions
- Expert command of oncology real-world data assets and their application to evidence generation
- Experience working at the interface of Translational Science, Clinical Development and Market Access functions
- Strong foundation in evidence generation methodologies, including observational study design, causal inference and comparative effectiveness research
- Experience with regulatory submissions or HTA dossiers leveraging RWE
- Solid understanding of multimodal modeling approaches and integration of clinical, imaging, genomic, and real-world data
- Experience within Oncology and, particularly, Lung, Head & Neck portfolios
- Familiarity with AI/ML applications in RWE, including predictive modelling and automated evidence synthesis
- Prior experience shaping or contributing to AI-enabled evidence platforms
- Experience working across therapeutic-area, scientific and AI teams in a global matrix organisation
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.