Senior Director, Evidence Statistics, Real World Science & Analytics

About this role

Requirements

• Advanced degree in Statistics, Biostatistics, or a related quantitative discipline such as Epidemiology, Health Outcomes, Health Informatics, Data Science, or Health Economics; or equivalent combination of education and relevant experience.
• Substantial experience in the design, analysis, interpretation, and reporting of clinical and/or real-world studies within the pharmaceutical industry, healthcare consulting, CRO, or academic settings. Typically, this would include
• approximately 8
• –10+ years of relevant experience depending on educational background.
• Strong experience in real-world evidence generation, observational research, and data analytics, including study design, analysis planning, and interpretation.
• Proven ability to lead and
• influence across
• complex, matrixed, global organizations and to build strong partnerships internally and externally.
• Strong strategic leadership, portfolio planning, prioritization, and decision-making skills.
• Demonstrated ability to solve complex scientific and operational challenges with sound judgment, innovation, and a strong focus on quality.
• Experience leading, developing, and
• retaining
• high-performing scientific teams, including direct line management responsibility.
• Excellent communication, influencing, and stakeholder engagement skills, with the ability to translate complex
• methodology
• for technical and non-technical audiences.
• Deep understanding of statistical and epidemiologic methods relevant to real-world evidence, including confounding adjustment, causal inference, longitudinal data analysis, and comparative effectiveness research.
• Highly Desired
• Extensive knowledge of real-world data sources and their strengths, limitations, and fit-for-purpose use in observational research and evidence generation.
• Experience evaluating, developing, or implementing advanced analytics, automation, or AI-enabled tools that improve evidence generation workflows or analytic capability.
• Experience working with large-scale healthcare data sources
• from a variety of countries
• , including
• claims, electronic health records, registries, or linked real-world datasets.
• Experience with modern real-world evidence analytic platforms, reproducible analytics environments, or scalable statistical workflows
• Track record
• of scientific publication, external presentation, or thought leadership in real-world evidence, observational research, or applied statistics.
• Date Posted
• 20-may-2026
• Closing Date
• 09-jun-2026
• AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.