Senior Statistician

About the role

AstraZeneca is looking for a Senior Statistician based in Barcelona, with an on-site commitment of three days a week. The role turns complex data into decisions that shape study designs, strengthen evidence packages and support confident decisions across the company's global portfolio. Fluency in English is required.

Key responsibilities

• Provide statistical expertise for complex design and interpretation of preclinical or clinical programmes, internal governance committees, regulatory submissions and commercialisation.
• Analyse internal and external information, perform modelling and simulation to inform design decisions and decision criteria.
• Develop statistical analysis plans for complex studies and project deliveries.
• Coach less experienced statisticians on analysis, supporting graphics and analysis tables for study reports, Global Medical Affairs studies or publications.
• Contribute to regulatory submissions, including overview documents and responses to regulatory questions.
• Identify opportunities to apply modelling and simulation, improve methodology and develop best practice.
• Under the guidance of a more experienced statistician, deliver pragmatic solutions quickly, draft analysis plans and consult colleagues, medical scientists and other roles.
• Investigate and apply novel statistical approaches, set standards and best practice, and build links with the external scientific and academic community.
• Communicate research and results internally and externally, including at conferences and in journal publications.

Required profile

• MSc/PhD in Statistics, Mathematics (with a substantial statistical component) or a recognised equivalent.
• Experience designing, analysing and reporting preclinical or clinical studies in more than one setting.
• Knowledge of key technical and regulatory requirements.
• Good communication and collaboration skills.
• Desirable: ability to apply statistical expertise to problem-solving with a quality focus.

Required skills

• Competent statistical programmer in SAS and R.
• Knowledge of statistical methods and applications in study design, analysis and interpretation.