Senior Scientific Software Engineer (Fullstack)

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

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 organisations 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 new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide.

The Analytics and Workflows group within the Center of Excellence (CoE) is dedicated to turning complex data into actionable insights that advance drug discovery and development. We leverage cutting-edge high-throughput technologies and foundational multimodal machine learning models to analyze large-scale chemical and biological data, enabling deeper understanding of molecular behavior and the identification of novel therapeutic opportunities. Despite advances in these fields, however, transforming raw data and computational models into meaningful insights remains a key challenge. In this role, you’ll work at the intersection of data science, medicinal chemistry, and engineering to build innovative analytical tools that bridge the gap between data generation and interpretation, helping unlock new avenues for scientific discovery and impact.

The Opportunity We are seeking a Senior Scientific Software Engineer (Fullstack) to design and build interactive tools for small-molecule drug discovery, with a particular focus on chemical data, molecular design workflows, and model interpretability. You will shape the technical and product direction of platforms that enable medicinal and computational chemists to explore data, test hypotheses, and design better drugs. This role is fullstack, with a strong emphasis on scientific data visualization, workflow design, and integration with computational pipelines. Success will be measured not only by technical delivery, but by the impact on how scientists design and evaluate small-molecule candidates. Your work will include:

• Partnering directly with medicinal chemists, cheminformaticians, and AI scientists to understand real-world molecular design and analysis workflows, including ambiguous or evolving needs
• Designing and building end-to-end platforms—spanning front-end interfaces, backend services, and data integrations—that enable scientists to run analyses, explore data, and interpret model outputs
• Leading the development of intuitive, extensible user experiences for complex scientific workflows, with a focus on interactive visualization, usability, and scientific fidelity
• Architecting and implementing APIs, data models, and services that support scalable, data-intensive applications, including integration with computational pipelines and machine learning systems
• Evaluating and applying emerging technologies (including AI-assisted development tools) to a