Senior Software Engineer - Lab Automation

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 maximizing 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 to assist our scientists to deliver more innovative and transformative medicines for patients worldwide.

The Opportunity Within the CoE organization, the Data and Digital Catalyst (DDC) organization drives the modernization of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making. As a software engineer, you will bridge the gap between scientific workflows and modern software solutions, which may include working alongside laboratory scientists and automation systems.

Working with a dedicated team of software-focused engineers, you will build, test, and deploy software and systems to support experimental and data workflows in production.

• Build across the full stack. Design, develop, deploy, and operate software spanning modern web frontends, backend services, APIs, databases, and cloud infrastructure.
• Create software scientists love to use. Develop intuitive applications that help researchers manage samples and data, coordinate workflows, and design, execute, monitor, and analyze experiments.
• Practice AI-native software engineering. Use coding agents as an integral part of your development workflow, accelerating implementation, testing, debugging, refactoring, and documentation while maintaining high standards of quality.
• Own complete solutions. Take features and systems from ambiguous requirements through technical design, implementation, validation, deployment, and production support.
• Build reliable and scalable systems. Design data models, services, and integrations that support complex scientific workflows and connect with laboratory and enterprise systems.
• Work across teams and disciplines. Contribute to different products and engineering teams as priorities evolve, partnering with scientists, automation engineers, designers, and other software engineers to turn complex scientific challenges into effective software solutions.
• Continuously improve how we engineer. Help shape our technical architecture, development practices, and adoption of emerging tools and technologies.

• You have 5+ years of experience and a strong track record of designing, shipping, and maintaining high-quality production software.
• You're a software generalist who is comfortable working across frontend, backend, databases, and cloud infrastructure, with deep expertise in at least one area.
• You have hands-on experience with modern web development, particularly React and Type Script, along with Python, SQL, and cloud-based services (ideally AWS).
• You are an AI-native software engineer who routinely uses coding agents such as Claude Code, Codex, or comparable tools for substantial engineering work.
• You've developed effective practices for providing context, decomposing problems,…