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 drives us to innovate to continuously advance science and ensure everyone has access to healthcare today and for generations to come. 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) leverage these technologies to accelerate R&D. The Computational Sciences Center of Excellence (CS CoE) is a strategic group harnessing the power of data and AI to assist scientists in delivering innovative medicines worldwide.

The Data and Digital Catalyst (DDC) organization leads modernization of computational and data ecosystems across Research and Early Development, advancing data-driven science and accelerating decision-making.

The Solutions team within DDC develops modernized and interconnected computational and data ecosystems, focusing on building data pipelines and applications for data acquisition, storage, transformation, linkage and sharing.

As a Software Engineer, you will build robust, scalable, reusable capabilities for our shared data platform, working closely with Data Engineers, Product Leaders and scientific partners to unlock scientific data potential, accelerating discovery and development of life-changing treatments.

The Opportunity

• Deliver innovative, best-in-class data flows and pipelines across key scientific domains.
• Promote adoption of Open Source, Cloud First, API First, and AI First approaches.
• Improve data workflows using microservices and event-driven design.
• Integrate diverse data sets to power AI/ML, Natural Language Search, visualization and analytics tools.
• Facilitate implementation of advanced AI models leveraging machine learning advances.
• Collaborate on technical decisions around data workflows and application development.
• Continuously improve and innovate the Data Ecosystem.

Who You Are

• Passionate about technical and product excellence, building highly usable solutions.
• Collaborative, leveraging modern development practices to solve complex challenges.
• Bachelor's degree in Computer Science or related field, or equivalent experience.
• Experience in full-stack development with frontend (JavaScript) and backend (Python, Java) technologies.
• Experience with databases, data analytics (SQL/NoSQL, ETL/ELT), and APIs (REST, GraphQL).
• Experience in public cloud environments, ideally AWS.
• Strong oral and written communication skills with strategic thinking for long-term goals.

Who We Are

Over 100,000 employees globally dedicated to advancing science and ensuring healthcare access. Committed to diversity and flexible working environment where everyone is valued and encouraged to bring their whole self to work.