We're building a connected, end-to-end Enterprise AI engine - uniting data foundations, AI technology, process reinvention, and business-facing AI to accelerate results across the whole value chain. Success depends on being exceptional connectors: you'll actively leverage existing capabilities, celebrate and promote reuse, export breakthrough ideas across geographies and functions, and obsess over scaling impact rather than building in isolation. If you thrive in high-collaboration environments where your role is to turn complex, cross-functional problems into reusable, enterprise-wide capabilities - and where the measure of success is adoption and scale, not just innovation - you'll have the platform (and sponsorship) to make it real. About AISI AI Science & Innovation (AISI) sits at the centre of AstraZeneca's R&D AI transformation. Our remit is to build, buy and deliver the AI models and agents that change pipeline outcomes, across discovery, translational science, biomarkers and clinical development. Introduction to role: Are you ready to set the direction for frontier AI that accelerates scientific discovery and sharpens decisions for millions of patients? Can you turn cutting-edge ideas in agentic AI, LLMs, and computational modeling into reliable systems that change how we work end to end? As Frontier AI Research Principal, you will define and deliver the roadmap for advanced AI across AstraZeneca. You will lead multidisciplinary teams to transform ambiguous scientific and business questions into scalable AI solutions, from target prioritization and evidence synthesis to operational optimization, deployed on cloud and high-performance computing. Your work will convert data into decisive action, enabling faster insights, smarter pipelines, and measurable patient impact. Accountabilities: - Strategic AI Leadership: Shape the vision and adoption of advanced analytics and AI capabilities, setting a focused roadmap that delivers measurable scientific and business outcomes. - Team Leadership and Mentorship: Lead, grow, and inspire AI engineers and scientists; ensure bar-raising execution across complex, cross-functional AI programs. - End-to-End Solution Delivery: Define, build, optimize, and deploy scalable AI/ML and computational modeling solutions across structured and unstructured data using classification, regression, clustering, deep learning, NLP, graph learning, recommendation systems, and more. - Problem Framing and Portfolio Strategy: Translate complex scientific and business challenges into tractable analytical plans; prioritize a portfolio that moves from rapid experiments to productionized impact. - Engineering Excellence and MLOps: Champion code quality, reproducibility, automation (CI/CD), observability and evaluation, with production deployment to cloud/HPC using Python, PyTorch, JAX, Hugging Face, MLflow, vLLM, Docker, and Kubernetes; employ agent frameworks such as LangGraph, OpenAI Agents SDK, Microsoft Agent Framework and Google ADK; use interoperability standards like Model Context Protocol (MCP) and Agent2Agent (A2A); instrument tracing and evaluation with OpenTelemetry and LangSmith. - Stakeholder Partnership: Work closely with senior leaders, domain experts, and technology partners to align priorities and capture value from AI initiatives across science, operations, and the enterprise. - Data Platforms and Analytical Rigor: Guide best practice for large-scale data engineering, feature generation, and model evaluation to support hypotheses, decisions, and regulated workflows. - Ecosystem and Partnerships: Establish high-impact collaborations with internal teams and external partners, including academia and vendors, to accelerate delivery and innovation. - Capability Uplift and Training: Provide expert consultancy and training to elevate AI, data science, and computational practices; foster a culture of continuous learning and digital innovation. - Governance and Risk Management: Set clear deliverables, manage risks, and communicate outcomes, opportunities, and limitations with transparency. - External Reputation: Publish, present, and collaborate externally to advance the state of the art and represent AstraZeneca’s leadership in AI. Essential Skills/Experience: - Master’s (or equivalent experience) in computer science, mathematics, engineering, statistics, Physics, or other quantitative discipline - Significant experience in AI, machine learning, statistical modeling, and/or advanced data science - Demonstrated leadership in managing and delivering cross-functional AI or data science projects and teams - Track record of scientific and/or technical publications in AI or related fields - Advanced understanding of AI engineering and/or computation (model optimization, infrastructure, automation) and AI science (modelling, data exploration, algorithm development) - Excellent written and verbal communication, project management, and stakeholder management skills - Proficiency in handling large, complex, and high-dimensionality datasets Desirable Skills/Experience: - PhD in a relevant quantitative discipline - Experience in life sciences, healthcare, or pharmaceutical R&D - Background in novel method development, model interpretation, indication or target discovery - Work experience in a global, matrixed organization and with external academic or vendor partners - Experience with budget management and influencing cross-functional priorities - Expertise in pharma context may be required Why AstraZeneca: Join a science-led company where AI is central to delivering life-changing medicines. You will work in an environment that prizes curiosity and decisive action—unexpected teams in the same room unleashing bold thinking, supported by modern platforms, strong partnerships, and real-world datasets at scale. We value kindness alongside ambition, pairing rigorous standards with the psychological safety to experiment, learn fast, and iterate. Here your ideas move from whiteboard to production to patients, with the backing, tools, and collaboration needed to push boundaries and build what has not been built before. Call to Action: Seize this opportunity to shape how frontier AI advances medicine—bring your vision, and let’s build the future together. #EAI Date Posted 10-nov.-2026 Closing Date 24-nov.-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. We focus on discovering, developing and commercialising prescription medicines for some of the world’s most serious diseases. But we are more than one of the world’s leading pharmaceutical companies. At AstraZeneca, we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science, challenge convention and unleash your entrepreneurial spirit. To embrace differences and take bold actions to drive the change needed to meet global healthcare and sustainability challenges. There is no better place to make a difference in medicine, patients, and society. An inclusive culture where you will connect different thinking to generate new and valuable opportunities. Where you will find a commitment to lifelong learning, growth and development for all. Our Inclusion & Diversity (I&D) mission is to create an inclusive and equitable environment where people belong, using the power of our diversity to push the boundaries of science to deliver life-changing medicines to patients. Inclusion and diversity are fundamental to the success of our company, because innovation requires breakthrough ideas that only come from a diverse workforce empowered to challenge conventional thinking. We’re curious about science and the advancement of knowledge. We find creative ways to approach new challenges. We’re driven to make the right choices and be accountable for our actions. As an organisation centred around what makes us human, we put a big focus on people. Across our business, we want colleagues to wake up excited about their day at the office, in the field, or in the lab. Along with our purpose to bring life-changing medicines to people across the globe, we have a promise to you: to help you realise the full breadth of your potential. Here, you’ll do work that has the potential to change your life and improve countless others. And, together with your team, you’ll shape a culture that unites and inspires us every day. This is your life at AstraZeneca.

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