Why choose AstraZeneca Spain?

AstraZeneca Spain is a rising force in our global business. With headquarters in Madrid and our global hub in Barcelona, we’ve become an important international centre of excellence in the fight against critical disease. Boasting vibrant universities and business schools, the Barcelona ecosystem is a place where scientists can thrive. We attract a diverse workforce from across the globe, shining a beacon for innovation in a country that’s committed to clinical development.

We invite you to bring your talents to Barcelona where our respiratory medicine R&D and Global Marketing centre offers opportunities in R&D, IT, Commercial and HR. Or join us in Madrid and shape our growth in our BUs (Respiratory, Oncology & CVRM ), and a range of Corporate functions. Additionally, you can find sales roles throughout the country. Together, we’re contributing to a world-leading pipeline of therapeutics and delivering life-changing medicines to patients.

Who do we look for?

Calling all tech innovators, ownership takers, challenge seekers and proactive collaborators. At AstraZeneca Spain, breakthroughs born in the lab become transformative medicine for the world's most complex diseases. Alongside technical expertise, colleagues have the resilience, energy and collaborative mindset to change lanes, work with different teams and start projects from scratch.

Here, diverse minds and bold disruptors can meaningfully impact the future of healthcare using cutting-edge technology. Whether you join us in Madrid or Barcelona, you can make a tangible impact within a global biopharmaceutical company that invests in your future. Join a talented global team that's powering AstraZeneca to better serve patients every day.

Diverse collaborators

This is a speak-up culture that values collaboration. You’ll proactively bring your unique perspectives, experiences and skills to the table and seek the same from others. With our international team composition and the need for fast-paced collaboration, you’ll always be building new connections with colleagues.

Cutting-edge innovators

When you join us, you’ll be part of a team that embraces digital technology and data to transform the way we work and the work we do. Every day, you’ll help make history, empowered to ignite your creativity and build something enduring.

Resilient trailblazers

Here, the answers aren’t always available. So, you’ll need to bring a fearless, self-starter mindset to navigate uncharted territories. You’ll harness your ceaseless energy to discover and make the necessary connections with colleagues to shape the future and achieve maximum impact.

Agile movers

Seize ownership and excel with autonomy to enjoy the constant rush of ground-breaking discovery. Your ability to anticipate sudden shifts and adapt swiftly will prove critical as you make your mark in an environment that rewards initiative and resilience.

Are you ready to turn complex real-world data into evidence that shapes clinical development decisions in Cardiovascular, Renal and Metabolic disease? Join us to apply epidemiology, biostatistics and AI to answer high-value scientific questions that move medicines forward.In this role, you will be part of a cross-functional team bridging Clinical Development, Biostatistics and Data Science to design and deliver observational studies at scale. Your work will inform trial strategy, refine patient selection and endpoints, and improve the speed and quality of decision-making across the CVRM portfolio. Can you see yourself translating sophisticated analytics into clear, decision-relevant insights that influence the path of our pipeline?Accountabilities:

• Evidence Generation and Study Delivery: Design and deliver observational studies and RWE projects that address priority scientific and clinical development questions across CVRM, from protocol and analysis plan through to results interpretation and dissemination.

• Decision-Ready Insights: Translate findings into clear, evidence-based recommendations that guide study design, development milestones and lifecycle decisions.

• End-to-End Analytical Execution: Build and validate cohort and phenotyping definitions; conduct data feasibility assessments; implement statistical analyses; and report results with transparency and reproducibility.

• Scientific and Technical Expertise: Apply robust observational study design, epidemiology and biostatistics; select and implement approaches such as comparative effectiveness, longitudinal analysis, causal inference, patient characterization and predictive analytics aligned to the research question

• Real-World Data Mastery: Work across claims, electronic health records, registries and linked datasets; assess suitability and limitations; and clearly document assumptions, methods and outputs aligned to internal scientific standards.

• AI-Enabled and Scalable Analytics: Deploy AI and machine learning to accelerate phenotyping, endpoint identification, workflow automation and analytical standardisation; contribute reusable code, pipelines, templates and standards to increase consistency and efficiency.

• Method Innovation and Evaluation: Scout, evaluate and help adopt new methods, tools and technologies that strengthen delivery and analytical quality.

• Cross-Functional Collaboration: Partner closely with Clinical Development, Biostatistics, Data Science and other stakeholders to align objectives, methods and outputs with program decisions; communicate technical concepts to specialist and non-specialist audiences.

• Quality, Standards and Continuous Improvement: Uphold rigorous scientific quality, reproducibility and transparency; follow best practices for documentation, coding, quality control and study conduct; share knowledge and help evolve team capabilities and standards.

Essential Skills/Experience:

• Advanced degree such as PhD or MSc in epidemiology, biostatistics, data science, public health, or a related discipline.

• Strong understanding of observational study design, epidemiologic methods, and the interpretation of real-world data.

• Experience applying machine learning or AI methods in healthcare data or related analytical settings.

• Practical experience working with real-world data assets such as claims, electronic health records, registries, or linked healthcare datasets.

• Experience applying quantitative methods to support evidence generation, including some of: comparative effectiveness research, longitudinal data analysis, causal inference, phenotyping, or predictive modelling.

• Strong programming and data analysis skills in R, Python, and/or SQL. - Ability to manage and deliver multiple analyses or projects with a focus on quality, timelines, and scientific robustness.

• Strong written and verbal communication skills, with the ability to explain technical findings clearly.

• Advanced English.

Desirable Skills/Experience:

• Experience developing reusable analytical code, tools, or workflows. - Familiarity with privacy-preserving analytics, federated approaches, or working across diverse data environments. Experience with multimodal real-world data or linked datasets.

• Experience in Cardiovascular, Renal and Metabolic (CVRM) disease areas. 6.

Why AstraZeneca: Here, science meets advanced analytics to unlock the next wave of medical breakthroughs. You will collaborate in unexpected teams—clinicians, statisticians, data scientists and engineers in the same room unleashing bold thinking—while working with cutting-edge data, methods and technology that directly influence development decisions.

We combine a strong pipeline with an environment that encourages curiosity, publication, and lifelong learning; we value kindness alongside ambition so you can stretch into new methods, tackle uncertainty and still feel supported. Your contributions will scale beyond a single study to accelerate medicines for patients who need them most.

Call to Action: If you are ready to shape pivotal decisions with rigorous real-world evidence and scalable analytics, apply today to turn data into impact for patients and our CVRM pipeline!

Date Posted

Closing Date

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.