A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Advances in AI, data and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and life-changing medicines for patients worldwide. Within the CS CoE organisation, the Data and Digital Catalyst (DDC) organization leads the modernization of our computational and data ecosystems by integrating digital technologies across Research and Early Development to empower stakeholders, advance data-driven science and accelerate decision-making. The Solutions team within the DDC Organization develops modernized and interconnected computational and data ecosystems. The Data Ecosystem is foundational to building solutions that accelerate the work done by our Computational and Bench Scientists and enable ML/AI tool creation and adoption. Our team specializes in building Data Pipelines and Applications for data acquisition, collection, storage, transformation, linkage and sharing. As a Software Engineer in the Solutions Engineering capability, you will work closely with colleagues such as Data Engineers, Product Leaders and Tech/ML Ops as well as directly with our key partners including Computational Scientists and Research Scientists. You will build robust and scalable systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients. As part of this role, you’ll contribute to building a modern, scalable and robust ecosystem of applications, agents and other tools to capture, move and prepare the scientific data for analysis. You are passionate about building scalable, reliable, and reusable capabilities for our shared platform.