Senior Frontier AI Researcher

Why AstraZeneca: Here, your AI research fuels real decisions and real therapies. You will work with modern platforms and diverse collaborators to tackle problems that span discovery science to enterprise operations, all while developing your craft through continuous learning and shared experimentation. We bring unexpected teams together, value kindness alongside ambition, and give you the autonomy and support to test, learn, and scale ideas that matter-so your contributions compound into impact for patients and the business.

The Frontier AI Research lab is a group of researchers working within the Enterprise AI unit. Working at the bleeding edge of AI and ML method you'll keep AZ at the forefront of AI in our industry. You will leverage advanced quantitative, computational, and algorithmic expertise to develop, deliver, and support scalable AI and data science solutions across AstraZeneca's business areas.

This role applies both foundational and cutting-edge approaches in AI engineering and data science to extract insights, solve business and scientific challenges, and advance innovation using structured and unstructured data.

Work collaboratively across multidisciplinary teams, combining technical strength, domain awareness, and strong communication skills to generate value and help drive AstraZeneca's scientific and business goals.

• Develop, implement, and support AI computational and data science solutions-including modelling algorithms, machine learning models, and AI tools-tailored to diverse scientific and business application areas.
• Translate complex, unstructured business or scientific problems into appropriate data-driven analytical and computational solutions.
• Collaborate with cross-functional stakeholders-including scientists, data scientists, engineers, and business teams-to identify opportunities, understand challenges, and deliver impactful AI-driven recommendations and insights.
• Research and develop new predictive models, computational methods, and algorithms, applying techniques such as classification, regression, clustering, natural language processing (NLP), image analysis, graph simulation theory, deep learning, and recommendation systems as needed.
• Integrate, process, and analyze data from multiple sources and modalities to ensure comprehensive approaches to problem-solving.
• Deploy and optimize AI and data science solutions in production settings, leveraging high-performance computing or cloud environments as appropriate.
• Provide technical expertise or support in specialist AI and data science frameworks and packages (e.g., TensorFlow, Keras, PyTorch, BERT, R, Python), ensuring robust, scalable, and reproducible methodologies.
• Work within project parameters and governance frameworks, ensuring alignment with regulatory, evidential, compliance, and quality standards.
• Clearly and objectively communicate findings, uncertainties, and limitations to stakeholders, and contribute to scientific and business publications, presentation, or knowledge sharing.
• Promote continuous learning, awareness, and adoption of new methods, technologies, and best practices in AI science and engineering.

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.

Call to Action: If you're ready to turn frontier AI into deployed breakthroughs from day one, step forward and shape what's next with us in Barcelona!

05-nov-2026

18-nov-2026