Biometrics Early Career Programme - Statistical Programmer

Location:Barcelona, Spain
Hybrid model of work:3 days in office, 2 remote per week

Type:Full-time Permanent

Start date:September 2026

Be at the heart of bringing life-changing medicines to the world!

As part of our Biometrics Early CareerProgramme,you’llbe at the heart ofthe clinicalstudy design, dataanalyticsand interpretation of our innovative portfolio of medicines. Directlyinfluenceour mission to provide life-changing treatments andimpactthe lives of millions of people around the world.

About AstraZeneca

AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery,developmentandcommercializationof prescription medicines for some of the world’s most serious diseases. Butwe’remore than one of the world’s leading biopharmaceutical companies. We are a company that genuinely followsthe scienceandvaluesindividuals at all levels;you’llbe backed and encouraged to speak up, ask questions, and share ideas to push the boundaries of science and to continuously learn and explore.

At AstraZeneca, Biometrics is the home that supports all aspects of early and late-stage drug development. We use ourexpertisein statistics, programming, and clinical data to answer drug developmentobjectivesand reduce uncertainty in product development, driving better business decisions with quantitative reasoning.

Our diverse (therapy area aligned) teams of dedicated data experts work collaboratively across early and late phase clinical development, of both small molecules and biologics. This allows us toleverageand fuse our own skills with others tomaximizeimpact. We are always expanding our knowledge to get a broad perspective of our portfolio, to consistently deliveroptimizedprogrammedesign, quality information,analysisand interpretation.

What does theProgrammeinvolve?

Being a member of a global, diverse, and vibrant team of Oncology Statistical Programmers,you’llwork on real drug development projects and train to gain the skills and knowledge needed to explore your potential for becoming a future Biometrics leader. You will have the opportunity to gain fantastic insights by supporting drug development. As an Oncology Statistical Programmer you will contribute in many ways, including:

• Transforming data into insights: Help turn complex clinical trial data into clear, reliable outputs (datasets, tables,listingsand figures) that inform decisions across drug development and regulatory submissions.

• Partnering across disciplines: Work closely with statisticians, clinicians, data managers, and engage with data scientists, engineers, and AI/ML professionals to solve problems and improve how we use data.

• Improving how we work: Contribute tononprojectinitiatives that streamline our processes—such as exploring AI-assisted workflows, adopting opensource tools and standards, enhancing automation and quality, and shaping best practices that scale across teams.

• Learning and growing: Build core programming and analytical skills (e.g., SAS and industry standards) alongside broader capabilities in collaboration, communication, and innovation—preparing you for a future leadership path.

• Owning impact: Play a key role in deliveringhighqualityresults, meeting timelines, and continuously improving how we design, analyze, and communicate clinical evidence.

TheProgramme’svariety and flexibilityprovideyou with outstanding exposurewithinOncologyStatistical Programming and other areas of Biometrics. You will be part of a collaborative team and gain an invaluable blend of on-the-job experience and specific training. With a mentor and abuddyassigned, you will build collaborative relationships with peers, specialists and leaders across our organization which will help to accelerate your career development.

TheAstrazenecaOncologyBiometrics team will help you build your pharmaceutical industry knowledge and the ‘soft’ skillsrequiredto fulfil your career potential.

Essential requirements

• BSc or MSc in Mathematics, Statistics, Computer Science or Life Science gained in 2024, 2025or 2026.

• Passion for programming and curious about pharmaceutical development

• Proactive problem solving and critical thinking skills.

• Willingness and ability to learn new skills.

• Planning,organizationaland time management skills

• Good communicationskills

• Collaborative, with a partnership approach to achieving success.

• Good levelof written and spoken English

Desirable Requirements

• Database and/or clinical trial awareness

• Programming knowledge of SAS or R

#EarlyTalent