Jobs in España

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 revolutionize patient safety? As an AI & Automation Scientist in Patient Safety, you’ll be at the forefront of automating data analysis from clinical trials, safety databases, literature, and real‑world data. Your mission? To harness statistical, visual analytics, and AI/ML modeling techniques to create data science workflows that evolve into rules‑based automation and AI agent tasks. Collaborate with stakeholders in the patient safety organization to tackle priority safety problems, design workflow strategies, and validate tools for optimal results. Partner with drug projects and R&D colleagues to support pharmacovigilance analysis and address health authority queries. Bring your blend of AI and data modeling skills, scientific domain knowledge, and commercial acumen to tailor analytics approaches for impactful outcomes.

• Develop and implement analytic solutions using statistics, machine learning, and visualization skills to address patient safety problems.
• Collaborate closely with Patient Safety teams to understand priorities and anticipate changing needs.
• Translate complex safety questions into data science problems, predictive models, statistical tests, and analytical solutions.
• Extract, transform, clean, and integrate relevant data for model development.
• Apply best practices in programming, including documentation, validation, and version control.
• Implement appropriate methods for data analysis and interpret results in partnership with PS stakeholders.
• Design complex search strategies leveraging public and proprietary content sources for regulatory and drug safety experts.
• Respond rapidly to safety‑related queries from internal colleagues and external partners.
• Handle sensitive clinical information in compliance with governance and regulatory standards.

• BSc/MSc/Ph.D. degree in medical, life sciences, computer science, applied statistics, or related quantitative field.
• Ability to learn fast and implement analytics solutions by selecting the right set of tools.
• Experience utilizing automation and AI agent tools such as Microsoft Power Automate and Microsoft Copilot Studio.
• Experience with visual analytics tools including Power BI.
• Functional expertise in programming, especially Python, SQL, git and AI‑powered command‑line interfaces such as Claude Code or Codex CLI.
• Experience using a testing‑harness to drive LLM prompt development.
• Strong understanding of AI/ML concepts, general methodologies, and the AI development lifecycle.
• Proven record of implementing analytical solutions to address research/business problems.
• Experience of working in a matrix environment with multiple stakeholders.
• Outstanding communication, presentation, and interpersonal skills.

• Experience in data visualization techniques addressing complex data sets using ADaM and SDTM data formats.
• Experience in pharmacovigilance or clinical safety within the pharmaceutical industry or a regulatory agency.
• Highly developed analytical and conceptual thinking.
• Experience with system validation, data governance, data privacy, and cybersecurity considerations in a regulated industry setting.
• Proven ability to critically evaluate AI/ML methodologies from a clinical and patient safety perspective.
• Experience working across different geographic locations, organizations, and cultures.
• Exerting Influence Without Authority.

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.

At AstraZeneca, we are driven by science and innovation with a bold vision to eliminate cancer as a cause of death. Our team is dedicated to pioneering new frontiers in oncology research, fusing cutting‑edge science with the latest technology to achieve breakthroughs. With multiple indications and high‑quality molecules at all stages of our innovative pipeline, we are committed to delivering new molecular entities by 2025. Empowered at every level, we make courageous decisions driven by patient outcomes. Join our collaborative research community where academia meets industry to expedite research in some of the hardest‑to‑treat cancers. Here you can build a rewarding career while improving the lives of millions.

Ready to make an impact? Apply now to join our team!

24‑nov‑2025

07‑dic‑2025

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.