Senior Statistician II

Role Barcelona onsite - 3 days at the office/2 days at home

The Senior Statistician II has sufficient experience working as a statistician in the pharmaceutical industry to be working independently on activities relating to design, delivery and interpretation, regulatory submissions and/or commercialisation.  This individual is able to perform and communicate results of more technical analyses, and able to guide less experienced staff.  They have the scope to develop creative statistical ideas and approaches, and to apply them in their work.  Competent individual contributor with excellent cross-functional collaboration. 

Typical Accountabilities 

The Senior Statistician II will typically work directly within a project.   The accountabilities for supporting projects directly are:

• Provide statistical expertise for complex design and interpretation for 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

Education, Qualifications, Skills and Experience

Essential

• MSc/PhD in Statistics, Mathematics (containing a substantial statistical component), or recognised equivalent to stats MSc

• Competent statistical programmer (SAS and R/Python)

• Knowledge of key technical and regulatory requirements

• Experience of design, analysis and reporting of clinical studies in more than one setting

• Communication and collaboration skills

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

• Comfortable learning and applying new statistical methods.

Date Posted

19-feb-2026

Closing Date

04-mar-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.