Teams at AstraZeneca

Supports AI project coordination, testing, user acceptance testing, documentation, training materials, stakeholder communication, launch readiness, and user feedback activities. The intern will collaborate with technical and business teams while gaining experience in AI implementation, responsible AI delivery, project coordination, and adoption of AI-enabled solutions.

Lead commercial decision science projects for a rare disease business, developing predictive and machine learning models using healthcare and real-world data. Apply statistical modeling, experimental design, causal inference, survival analysis, forecasting, and AI-assisted analytics. Translate findings into commercial recommendations while ensuring privacy, explainability, fairness, validation, monitoring, and governance. Partner with cross-functional teams, manage project milestones, communicate insights to technical and non-technical stakeholders, and coach peers.

Support learning and development initiatives for AstraZeneca’s Oncology R&D organization. Responsibilities include identifying learning needs, coordinating projects and timelines, researching learning trends, supporting Degreed, Cornerstone, and Xyleme platforms, creating communications and learning resources, analyzing learning data, and exploring responsible AI applications in learning. The intern will gain practical experience in a global pharmaceutical R&D environment while working with L&D stakeholders.