Summary: Lead ML engineering for an AI platform transforming rare disease indication research into a data-driven process, co-designing and developing ML components. Highlights: 1. Technical lead for ML engineering in rare disease research 2. Builds and integrates end-to-end ML capabilities 3. Shapes AI-driven drug development strategy Location: Barcelona, Spain Job reference: R\-247205 Date posted: 03/05/2026 This role requires to work **3 days/weekly** from the office, 2 from home. At Alexion, AstraZeneca’s Rare Disease unit, you will be the Indication Research team’s technical lead for ML engineering as we build an AI platform that transforms indication research for rare diseases into a data\-driven and systematic triage process. Your mission is to co\-design and develop the platform’s ML components. You will integrate and develop models working on biomedical knowledge graphs, multi\-omics and imaging data, and real\-world evidence to deliver mechanistic predictions and rank opportunities. Further, you will collaborate and communicate closely with bioinformatics, data engineering and digital infrastructure teams to inform our AI\-driven drug development strategy. What you will do * Provide technical leadership in ML engineeering, research, and MLOps * Build, validate, and integrate end\-to\-end ML capabilities into the Indication Research Platform, including the design, development, training, and optimization of graph ML methods over biomedical knowledge graphs. * Develop and integrate multi\-agent frameworks within the Indication Research Platform. * Coordinate with bioinformatics, data engineering, and digital infrastructure teams to define and encourage best practices. * Shape the Indication Research Platform ML capabilities and roadmap Skills and qualifications * PhD in ML/CS/statistics (computational biology experience welcomed). * Proven record designing deep learning architectures and running rigorous, large\-scale experimentation in PyTorch/TensorFlow. * Fluency in linear algebra, calculus, statistics, probabilistic methods and causal reasoning * Familiarity with biomedical knowledge graphs, ontology alignment, and graph ML at scale. * Hands\-on experience or collaborative work applying machine learning to omics, imaging data, and RWE. * Proficient in CI/CD and ML model lifecycle best practices, with experience running GPU workloads in cloud and distributed environments. **Date Posted** 04\-mar\-2026**Closing Date** 18\-mar\-2026 Alexion is proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to fostering a culture of belonging where every single person can belong because of their uniqueness. The Company will not make decisions about employment, training, compensation, promotion, and other terms and conditions of employment based on race, color, religion, creed or lack thereof, sex, sexual orientation, age, ancestry, national origin, ethnicity, citizenship status, marital status, pregnancy, (including childbirth, breastfeeding, or related medical conditions), parental status (including adoption or surrogacy), military status, protected veteran status, disability, medical condition, gender identity or expression, genetic information, mental illness or other characteristics protected by law. Alexion provides reasonable accommodations to meet the needs of candidates and employees. To begin an interactive dialogue with Alexion regarding an accommodation, please contact accommodations@Alexion.com. Alexion participates in E\-Verify.