Frontier AI Research Principal
AstraZeneca2 days ago
Barcelona, SpainStaff+
Responsibilities
- Set the vision, adoption strategy, and roadmap for advanced AI capabilities across AstraZeneca.
- Lead, mentor, and develop multidisciplinary AI engineers and scientists across complex programs.
- Frame scientific and business problems and prioritize work from rapid experiments through production impact.
- Define, build, optimize, evaluate, and deploy scalable AI/ML and computational modeling solutions.
- Champion engineering excellence, reproducibility, automation, observability, MLOps, and production deployment across cloud and high-performance computing.
- Guide large-scale data engineering, feature generation, model evaluation, and analytical practices for regulated workflows.
- Partner with senior leaders, domain experts, technology partners, academia, and vendors to align priorities and accelerate delivery.
- Provide expert consulting and training across AI, data science, and computational practices.
- Manage governance, risks, deliverables, outcomes, and limitations transparently.
- Publish, present, and collaborate externally to advance AI research and represent AstraZeneca.
Requirements
- Master’s degree or equivalent experience in computer science, mathematics, engineering, statistics, physics, or another quantitative discipline.
- Significant experience in AI, machine learning, statistical modeling, and/or advanced data science.
- Demonstrated leadership 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, computation, model optimization, infrastructure, automation, modeling, data exploration, and algorithm development.
- Proficiency handling large, complex, and high-dimensionality datasets.
- Excellent written and verbal communication, project management, and stakeholder management skills.
- PhD in a relevant quantitative discipline is desirable.
- Experience in life sciences, healthcare, or pharmaceutical R&D is desirable.
- Experience with novel method development, model interpretation, indication or target discovery, global matrixed organizations, academic or vendor partnerships, budget management, and cross-functional influence is desirable.
- Expertise in pharmaceutical contexts may be required.
Benefits
- Work in a science-led company where AI supports life-changing medicines and operates on real-world datasets at scale.
- Collaborate with modern platforms, strong partnerships, and multidisciplinary teams in an inclusive environment that supports experimentation and learning.
- Date posted: 10 November 2026; closing date: 24 November 2026.
Tech Stack
Categories
AI ResearchML Engineering
About AstraZeneca
AstraZeneca is a global biopharmaceutical company that discovers, develops, manufactures, and commercializes prescription medicines for patients and healthcare systems. Its portfolio spans oncology, cardiovascular, renal and metabolism, respiratory and immunology, and rare diseases (expanded by the 2021 acquisition of Alexion). Founded in 1999 and headquartered in Cambridge, UK, it is a public company listed on the London Stock Exchange and Nasdaq, generating revenue primarily from drug sales and partnerships.