Lead Full-Stack AI Product Engineer

· Bachelor's degree in computer science, software engineering or a related discipline.

· At least three years of software development experience, including building and successfully deploying subscription-based web applications.

· Strong programming and software engineering experience using R, Python programming language and structured query language.

· Experience designing scalable cloud-based systems, containerized workflows and reproducible analytical data pipelines.

· Experience integrating artificial intelligence into software products and analyzing multiple data types, including imaging data.

· Strong technical judgment, with the ability to evaluate technical trade-offs, define realistic timelines, and clearly communicate technical decisions to scientific and non-technical colleagues.

Are you ready to 'go beyond' to create value and make your mark for patients? If this sounds like you, then we would love to hear from you!

As a founding member of our new Barcelona R&D Hub, you will help build the AI-powered precision medicine platform that transforms clinical and molecular patient data into insights that accelerate drug discovery and improve patient outcomes.

To help drive this vision, we are looking for a curious, collaborative and solutions-focused Lead Full-Stack AI Product Engineer to join our Translational Analytics team.

You will develop and manage the next phase of our in-house precision medicine platform, helping researchers use clinical and molecular patient data to make informed decisions in drug discovery. You will take end-to-end responsibility for the platform's technical development, from implemented architecture through deployment, including daily product operations and continuous improvement. You will also contribute to the ongoing platform artificial intelligence capabilities to help teams translate complex data into actionable therapeutic opportunities.

· Optimize design, build and maintain a secure, scalable web platform for precision medicine research and real-time data visualization.

· Expand current user interfaces, cloud-based services and automated analytical workflows that support reliable and reproducible research.

· Own testing, deployment, monitoring and maintenance, continuously improving the platform from current prototype to production-ready product.

· Manage structured clinical and molecular data, ensuring traceability, version control and appropriate access.

· Contribute to expanding the platform's AI capabilities and analysis of molecular, clinical and imaging data.

· Collaborate with scientific and technical teams to translate needs into accessible solutions and standardized data practices.

Interested? For this role we're looking for the following education, experience and skills

At UCB, we've embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless expressly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office.