Senior Statistician

Introduction to role:

This role is based in Barcelona, with an on-site commitment of three days a week. Fluency in English is required.

Are you ready to turn complex data into confident decisions that accelerate new cancer medicines to patients? In this role, you will be a key statistical partner across our oncology portfolio, shaping study designs, strengthening evidence, and elevating decision quality from preclinical research to late-stage development and beyond.

You will join a high-calibre statistical community that sits shoulder-to-shoulder with clinicians, translational scientists and data scientists. We blend academic rigor with real-world impact, backed by strong investment and a pipeline spanning multiple indications. Picture yourself influencing pivotal study designs today while building the tools, methods and practices that raise the bar for tomorrow.

Accountabilities:

- Study Design Leadership: Provide independent statistical support for standard study designs and interpretation, ensuring decisions are grounded in robust evidence and aligned to program goals.

- Complex Program Support: With guidance, design and analyse complex studies and contribute statistical strategy to broader programs, including preclinical work, regulatory packages, commercialization activities and high-level governance engagements.

- Decision Analytics: Under mentorship, synthesise internal and external data to inform key design decisions and decision criteria, enabling smarter, faster program choices.

- Modelling and Simulation: Apply simulation and modelling to stress-test design options, optimise sample sizes and assess the robustness and sensitivity of results.

- Statistical Analysis Plans: Develop high-quality Statistical Analysis Plans that anticipate critical decisions, data complexities and regulatory expectations.

Analytical Delivery and Visualisation: Produce analyses, graphics and tables for standard studies, supporting clinical and preclinical reports, medical affairs evidence and publications that move the science forward.

- Result Interpretation and Communication: Translate outputs into clear, decision-ready insights for multidisciplinary teams, highlighting risks, assumptions and next steps.

- Methodology and Process Improvement: Contribute practical methodological enhancements and process refinements that improve quality, speed and reproducibility.

- Best Practice Development: Help define and disseminate best practices to raise consistency, efficiency and effectiveness across teams.

- Quality Ownership: Take accountability for the quality of your statistical work, offering domain insight and constructive challenge while actively developing your skills and breadth.

- Progressive Impact: Deliver immediate value on active studies while building toward broader influence on program strategy, cross-functional decision-making and enterprise standards.

Essential Skills/Experience:

- MSc/PhD in Statistics, Mathematics (containing a substantial statistical component), or recognised equivalent to stats MSc.
- Competent statistical programmer (SAS and R).
- Knowledge of key technical and regulatory requirements.
- Experience of design, analysis and reporting of preclinical or clinical studies in more than one setting.
- Communication skills.
- Collaboration and team working skills.

Desirable Skills/Experience:
- Ability to apply statistical expertise to problems, problem solving and quality focus.

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:
Join a scientific community where statisticians are core decision-makers, working side-by-side with world-class researchers and engineers to tackle the toughest cancers using advanced methods and technology. We fuse the energy of academia with the scale of industry, collaborating across hundreds of global partnerships and a consortium of seven leading cancer centers to accelerate discovery. You will find an environment that backs bold ideas with resources, empowers you to lead from any level, and values kindness alongside ambition—so your contribution not only advances medicines, it shapes how teams everywhere make smarter, faster decisions for patients.

Call to Action
Ready to use your statistical craft to shape pivotal decisions and speed life-changing medicines to patients? Send your CV today and step into a role where your impact will be felt across programs and, ultimately, in people’s lives!

Date Posted

13-ene-2026

Closing Date

26-ene-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.