Associate Director position in AstraZeneca's AI Science & Innovation team, focused on developing and deploying machine learning methods for clinical trial design, patient selection, and safety evaluation across BioPharmaceuticals programs. Role combines hands-on data science with cross-functional leadership in a rapidly evolving field where AI directly informs drug development decisions. Responsibilities Develop, validate, and deploy AI methods for trial design optimization, dose studies, biomarker discovery, and safety signal detection Lead end-to-end data science projects from problem definition through implementation and adoption by clinical teams Collaborate with clinical development, biometrics, and regulatory teams to integrate AI into study design workflows Build maintainable, well-documented data pipelines and reusable analytical products across the enterprise Establish data-centric AI practices including dataset curation, quality control,



and evaluation frameworks for clinical settings Requirements ~ PhD in Computer Science, Machine Learning, Statistics, Mathematics, Biomedical Informatics, or related quantitative field (MSc considered with exceptional computational background) ~2–5 years post-PhD experience developing AI/ML methods with documented impact in clinical or drug development settings ~ Deep expertise in biological data analysis: molecular, imaging, or clinical text data ~ Advanced technical knowledge in foundation models, Bayesian inference, temporal modeling, or causal inference methods ~ Demonstrated ability to build reproducible, production-quality data products with software engineering practices ~ Experience embedding AI into regulatory or clinical decision-making workflows ~ Track record of scientific contribution through publications, open-source work, or regulatory submissions

📌 Account Manager (España)
🏢 Amgen
📍 España