Job Title: 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 decisions that accelerate life-changing medicines to patients? As a Senior Statistician, you will play a critical role in shaping study designs, strengthening evidence packages, and enabling confident decision-making across our global portfolio.

You will join a community that blends deep statistical expertise with curiosity and courage. Here, you will contribute to high-impact deliverables, collaborate closely with diverse project teams, and be visible at key decision points. You will influence how we design, analyze, and interpret studies, learn from constructive challenge, and help raise the standard of statistical practice across the enterprise.

Accountabilities:

The Senior Statistician II may work directly within a project and/or support statistical methodological advances.  

The accountabilities for supporting projects directly are:

• Provide statistical expertise for complex design and interpretation for preclinical or clinical programmes, high level internal governance committees, regulatory submissions and/or commercialisation.

• Analyse internal and external information, perform modelling and simulation to inform design decisions and the development of decision criteria.

• Develop a Statistical Analysis plan for complex studies and/or project deliveries.

• Act as a coach/guide for less experienced statisticians in the production of analysis, supporting graphics and analysis tables for study reports, Global Medical Affairs studies or publications.

• Able to analyse, interpret, summarise and communicate results of complex studies • Contribute to the regulatory submissions including specification of overview documents and response to regulatory questions.

• Identify opportunities for the application of modelling and simulation to improve study design.

• Identify opportunities to improve the methodology and provide practical solutions for problems.

• Identify and apply statistical methodology to improve the process and delivery activities.

• Contribute to the development of best practice to improve quality, efficiency and effectiveness.

• Accountable for the quality of their statistical work; provide discipline-specific understanding, insight and constructive challenge and take ownership of development needs, seek coaching or training opportunities

The accountabilities for supporting statistical methodological advances are:

• Under guidance of a more experienced statistician, produces pragmatic solutions, often within a tight time scale where the emphasis is to deliver first, then refine and develop solutions thereafter.

• Draft statistical analysis plans for complex studies.

• Provide consultancy within area of expertise to fellow statisticians working within therapeutically aligned statistics groups, as well as medical scientists and other key roles across the business.

• Investigate and apply novel statistical approaches, for relevant statistical issues and/or regulatory guidance and/or value demonstration.

• Investigate and improve statistical approaches, establish standards and best practice, develop and implement new methodology interacting with external scientists.

• Identify new areas where we can add value, developing collaborative relationships with the external scientific/academic community and maintaining academic links.

• Contribute to/or lead the development of a process improvement and/or capability area within the Department.

• Develop a strong understanding of the pharma business/AZ ways of working.

• Communicate research and results internally and externally through participation at conferences and journal publications. 

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.

• Experience and knowledge of statistical methods and applications in study design, analysis and interpretation.

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 company where statistical thinking shapes decisions that matter. You will partner with diverse minds across global therapy areas, contribute at pivotal governance forums, and help transform science into medicines. We bring unexpected teams together to share knowledge, challenge ideas constructively and learn fast, supported by leaders who empower improvement and invest in modern technology. Your expertise will be visible, your voice heard, and your impact felt in work that advances patient health while stretching your skills every day. We value kindness alongside ambition, and we back courageous problem-solvers who want to keep improving.

Call to Action: If you are ready to elevate your impact and help design the evidence that changes patients’ lives, send your application and show us how you will raise the statistical bar.

Date Posted

23-jun-2026

Closing Date

13-jul-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.