Senior Director Statistics Strategy
08001, Barcelona, Cataluna, España
Publicado en 2026-06-18
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Servicios Médicos
Científico de datos
Location:
Barcelona - Spain (3 days working from the office and 2 days working from home)
Bio Pharmaceuticals Medical (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 as supporting our internal stakeholders with medical insightsandexpertise. BPM provides medical leadership across the enterprise, including in support oflife cycle planning andpost-launch evidence generation. BPM aims to lead AstraZeneca in advancing its scientific leadership, beinga great placeto work, and keeping patients at the core of everything we do.
The Senior Director, Evidence Statistics will play a key role in delivering statistical and methodologicalexpertiseto enable evidence generation activities, as well as developing and championingassociated AIand analytic tools across the organization. The Senior Director will lead a high-functioning
Globalstatisticsteam thatenablesthedesign, governance,interpretation and 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 to identify, 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 of industry-leading statisticalexpertisefor the benefit of patients around the world.
The Senior Director willutilizetheir established technicalleadershipand theexpertiseof their teamtodrive impact across multi-disciplinary teamsthat include medical leads, epidemiologists, datascientistsandother cross-functional partners to generate insights and evidence thatinformsclinical practice.
- 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.
- Builds strong cross-functional collaboration with partner teams, such asReal World Data Science and theReal World Data 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 improve the efficiency, reproducibility, and impact of evidence generation, including appropriate AI-enabledand digital approaches.
- 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…
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