BioPharmaceuticalsMedical (BPM)strivesforthe best patient outcomes by providing healthcare decision-makers around the world with the evidence and confidence they need on AstraZeneca therapies,as well assupporting our internal stakeholders with medical insightsandexpertise. BPM provides medical leadershipacross the enterprise, including in support oflife cycle planning andpost-launch evidence generation. BPM aims to lead AstraZeneca inadvancing itsscientific leadership, beinga great placeto work, and keeping patients at the core of everything we do.

The Senior Director,EvidenceStatisticswill play a key role indelivering statisticaland methodologicalexpertiseto enable evidence generation activities, as well as developing and championingassociated AIand analytic tools across the organization. The Senior Directorwill lead a high-functioningGlobalstatisticsteam thatenablesthedesign, governance,interpretationand reporting of evidence generation studiesacross therapeutic areas. This role will be accountable formaintainingandmaximizing the value ofleading statisticsexpertiseto supportprimary and secondary data studies.The Senior Director will also contribute to the Global Evidence organization's efforts toidentify, build,acquire, and embed AI tools and technologies that increase the efficiency and impact of evidence generation studies.

We are looking for a leader tonurture andmaximize the impact ofindustry-leading statisticalexpertisefor the benefit of patients around the world.The Senior Directorwillutilizetheir established technicalleadershipand theexpertiseof their teamtodrive impactacross multi-disciplinary teamsthat includemedical leads, epidemiologists, datascientistsandother cross-functional partnersto generate insights and evidence thatinformsclinical practice.

Accountabilities

• Lead, develop, and inspire a high-performing team of statisticians supporting real-worldevidence generation across therapeutic areas.

• Provide strategic and operational leadership for statistical input into evidence generation plans, study design,sample size estimation, studygovernance, interpretation, and dissemination.

• Partner effectively with therapeutic area evidence leaders and key stakeholders across Medical, Market Access, HEOR, Data Science, and R&D to align statistical approaches with studyobjectivesand evidence needs.

• Buildsstrong cross-functional collaboration with partner teams, such asReal WorldData Science and theReal WorldData Office

• Set clear roles, expectations, andaccountabilitiesfor team members, ensuring effective deployment of statisticalexpertiseacross the portfolio.

• Advance the use of innovative and fit-for-purpose statistical approaches to address complex evidence questions, including comparative effectiveness, causal inference, and value demonstration.

• Maintain deep awareness of emerging methodologies,related AI advancements,regulatory expectations, and external best practice in the design, analysis, and interpretation of real-worldevidence.

• Lead continuous improvement and capability-building initiatives that strengthen quality, consistency, efficiency, and methodological excellence across the statistics function.

• Represent the function externally through engagement with scientific experts, professional societies, collaborators, and other external partners to bring in and shape leading practice.

• Ensureappropriate statisticalsupport, prioritization, andresourcingacross the portfolio to deliver high-quality evidence to agreed timelines.

• Coach, mentor, and develop statistical talent, building both technical depth and leadership capability within the team.

• Drive the development and adoption of tools, standards, and ways of working that improvethe efficiency, reproducibility, and impact of evidence generation, includingappropriate AI-enabledand digital approaches.

EssentialRequirements

• 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 includeapproximately 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 andinfluence acrosscomplex, 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, andretaininghigh-performing scientific teams, including direct line management responsibility.

• Excellent communication, influencing, and stakeholder engagement skills, with the ability to translate complexmethodologyfor 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 sourcesfrom a variety of countries, includingclaims, 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 recordof scientific publication, external presentation, or thought leadership in real-world evidence, observational research, or applied statistics.