The Position

In Roche’s Pharmaceutical Research and Early Development organization (pRED), we make transformative medicines for patients in order to tackle some of the world’s toughest unmet healthcare needs. At pRED, we are united by our mission to transform science into medicines. Together, we create a culture defined by curiosity, responsibility, and humility, where our talented people are empowered and inspired to bring forward extraordinary life-changing innovation at speed.

Therapeutic Modality (TMo) organization, accountable for translating disease biology into high-quality drug candidates across small molecules, large molecules, oligonucleotides, and genomic medicines. By integrating deep modality expertise with cross-disciplinary collaboration, TMo drives innovation within and across platforms to enable differentiated, sustainable therapeutic impact.

The Opportunity

We are looking for a highly versatile Scientist to serve as our primary operational and computational architect embedded in the wet-lab scientific community. In this role, you will bridge the gap between physical laboratory benches and advanced digital infrastructure. You will have the chance to shape how active learning loops could fundamentally rethink small molecule assay development for screening and profiling by building future ready agentic AI workflows from assay design to data delivery. Concurrently, you will champion platform adoption across the department, ensuring bench scientists are trained and supported on core tools. This profile requires a unique combination of biological literacy and data engineering acumen to successfully design closed-loop analytical systems, minimize operational bottlenecks, and transition raw screening readouts into predictive, FAIR-compliant data assets.

• Lead the co-development, operational rollout, and continuous training for our end-to-end assay development and screening laboratory information management systems (LIMS), ensuring complete, traceable data trails and digital twins.
• Design and integrate cutting-edge Agentic AI tools and Design of Experiments (DoE) frameworks.
• Build and adjust pipelines that connect specialized raw instrument outputs directly with databases to achieve robust FAIR (Findable, Accessible, Interoperable, and Reusable) data standards.
• Act as a change agent by coordinating user onboarding, training bench scientists, and championing platform adoption across the broader scientific community.
• Make a direct impact by accelerating assay design and execution times, lowering processing error rates, and resolving operational bottlenecks for specialized teams.

Who You Are

• You hold a Ph.D. or M.S. in Computational Biology, Scientific Informatics, Bioinformatics, Biology/Biochemistry with a strong computational focus, or a related quantitative scientific discipline.
• You bring solid experience in cellular, biochemical, or biophysical systems and are familiar with FAIR data management standards.
• You have proven experience working with laboratory informatics environments (such as LIMS or electronic lab notebooks) alongside wet-lab operations incl. Design of Experiments.
• You demonstrate strong programming proficiency, including building or maintaining databases, automating data extraction, and working with ML/LLM API integration.
• You are a collaborative communicator with a customer-centric mindset, ready to train cross-functional users and manage stakeholder relationships effectively.

At Roche, we aim high to deliver life-changing healthcare solutions. If you’re ready to make a meaningful impact on patients and healthcare systems worldwide, this is the place for you.