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Director Biostatistics, Medical & Payer Evidence Statistics

Lieu Barcelone, Catalogne, Espagne Job ID R-244555 Date de publication 01/28/2026

Are you ready to lead the statistical strategy that turns real-world data into evidence that builds access, value, and patient outcomes? This role places you at the center of how we build, analyze, and communicate evidence that matters. It links detailed science to practical decisions impacting patients 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 your expertise to 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 results and 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, analysis and reporting of clinical studies/trials in a pharmaceutical research or academic setting.

  • Demonstrated ability to work collaboratively on cross-functional teams across global & functional boundaries, both internally and externally. 

  • Strong project management/organizational and prioritization skills.

  • Self-motivated with the ability to work independently to solve complex and challenging problems using innovative strategies while maintaining focus 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 in RWE observational research study management and data analytics, either within  industry or with an observational research consulting firm or academia.

  • Extensive knowledge and demonstrated experience with a variety of real-world data sources and observational research study design/execution in biotech/pharmaceuticals, consulting or academia.

  • Experience working with large healthcare claims and EMR databases such as Truven MarketScan, Optum, CPRD or similar.

  • Advanced knowledge of epidemiologic and/or health economics methods, (e.g., propensity score analysis, marginal structural modeling).

  • Experience using RWE Analytic Tools & platforms (e.g., IHD/Aetion Analytic tools)

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 at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not 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.

Lead the strategy that transforms real-world information into decisions for patients—send your CV today and build the evidence that changes care!

Date Posted

27-Jan-2026

Closing Date

20-Feb-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.



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 authorisation and employment eligibility verification requirements.

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