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Statistical science director in RWE
Statistical science director in RWE
Statistical science director in RWE
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Location: Barcelona - Spain (3 days working from the office and 2 days working from home).
This role places you at the center of how we build, analyze, and communicate evidence that matters. It links detailed science to practical decisionsimpactingpatients and health systems.
You will set the bar for how we generate and interpret evidence across observational studies and primary data collection, partnering with internal leaders and external experts to answer the most pressing questions in medicine. How will you use yourexpertiseto influence value-based decisions and accelerate evidence-based change in the real world?
Accountabilities
Provide statistical direction for observational research and original data collection in studies on treatment patterns, disease burden, comparative efficiency, and value-based decisions.
Study Design and Governance: Shape Study Design Concepts, Protocols, Statistical Analysis Plans, Data Presentation Plans, Clinical Study Reports, and publications; contribute to governance reviews to raise the quality and robustness of evidence.
Advanced Analytics: Lead the design and analysis of complex studies, ensuring methodological rigor and clarity of interpretation that informs decisions across Epidemiology, Market Access/HEOR, and Medical Affairs.
Vendor Oversight: Oversee CRO analytic activities for outsourced studies, from analysis plans through interim/final resultsand publication development, ensuring delivery that meets scientific and business needs.
Hands-on Impact: Provide analytical support for internal real-world evidence analyses when needed to unlock pace and clarity on high-priority questions.
Operational Excellence: Collaborate to develop operational systems and research processes that increase the effectiveness and efficiency of evidence generation.
Collaborator Collaboration: Build strong, trust-based partnerships across functions and with outside specialists to co-create impactful evidence.
People Leadership: Mentor junior statisticians and guide them to elevate capabilities and ensure continuity of excellence across programs.
Essential Skills/Experience
Graduate degree in Statistics, Biostatistics, or related quantitative fields (epidemiology, health outcomes, health informatics, or health economics), with experience in the design,analysisand reporting of clinical studies/trials in a pharmaceutical research or academic setting.
Experience in managing RWE observational research studies and conducting data analytics, whether in industry, an observational research consulting firm, or academia.
Comprehensive understanding and proven experience with diverse real-world data sources and observational research study build and implementation in biotech/pharmaceuticals,consultingor academia.
Advanced knowledge of epidemiologic and/or health economicsmethods, (e.g., propensity score analysis, marginal structural modeling).
Demonstrated ability to work collaboratively on cross-functional teams across global & functional boundaries, both internally and externally.
Strong projectmanagement/organizational and prioritization skills.
Self-motivated with the ability to work independently to solve complex and challenging problems using innovative strategies whilemaintainingfocus on quality.
Excellent communication skills and ability to build strong relationships.
Desirable Skills/Experience:
PhD Statistics, Biostatistics, or related quantitative fields (epidemiology, health outcomes, health informatics, or health economics)
Experience working with large healthcare claims and EMR databases such as TruvenMarketScan, Optum, CPRD or similar.
When we put unexpected teams in the same room, we unleash bold thinking with the power to
inspire life-changing medicines. In-person working gives us the platform we need to connect, work atpaceand challenge perceptions.That'swhy we work, on average, a minimum of three days per week from the office. But thatdoesn'tmeanwe'renot flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
Why AstraZeneca
Here, statisticians, clinicians, data scientists, and market access experts work side by side to turn evidence into better patient outcomes and smarter healthcare decisions. You will use innovative methods and real-world data to influence practice in everyday settings. We pair bold ambition with genuine support, valuing kindness alongside drive, and give you the platform to move fast, collaborate widely, and see your work reinvested into the next wave of scientific innovation.
Date Posted
23-abr-2026Closing Date
31-may-2026AstraZeneca 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.
Application managed by AstraZeneca