Senior Software Engineer - Instrument Integration, Engineering - Lab Automation

Senior Software Engineer

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 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 Senior Software Engineer, you will be a key contributor to the architecture and delivery of the instrument data strategy. You will take ownership of significant features and ensure the development of scalable and reliable integration solutions. This is a unique opportunity to empower our scientists with reliable and accessible data and accelerate the discovery of transformative medicines for patients worldwide.

In this role, you will:

• Lead the design and implementation of complex features for interfacing with diverse scientific laboratory instruments.
• Contribute to the technical architecture, roadmaps, and delivery of reliable, scalable software systems.
• Provide technical guidance and conduct design reviews to set a high bar for engineering excellence within the team.
• Design, develop, and test robust, cloud-native software systems for capturing and processing instrument data.
• Partner with product managers and scientists to deeply understand user needs and translate them into clear, actionable technical specifications.
• Apply and advocate for best practices in distributed systems, data engineering, and cloud-native architecture to inform design decisions.

Who You Are

• B.S. in Computer Science, Engineering, or a related field plus 4+ years of professional experience in Biotech/Pharma, focused on building and deploying scalable software systems for scientific research.
• Deep, hands-on technical contributions and expert technical knowledge of principles related to distributed systems, data engineering, software architecture, and system design.
• Expert-level proficiency in Python and deep working knowledge of either Java or C#.
• Expert-level technical background in cloud-native architectures (ideally AWS).
• Deep knowledge of lab workflows.
• Direct experience interfacing with a variety of scientific laboratory instruments (e.g., liquid handlers, plate readers, microscopes, mass spectrometers) is essential.

Relocation benefits are NOT available for this job posting.

The expected salary range for this position, based on the location of California, is $142,500 - 264,700. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.