Scientist – Assay Data, AI & Workflows

Become part of our team bridging laboratory operations and digital systems to advance assay development and screening. Lead the integration of agentic AI workflows and platform adoption, ideal for candidates with strong computational biology expertise and experience in laboratory informatics.

• Serve as the primary operational and computational architect embedded in the wet-lab scientific community.
• Bridge the gap between physical laboratory benches and advanced digital infrastructure.
• Shape active learning loops to rethink small molecule assay development for screening and profiling by building agentic AI workflows from assay design to data delivery.
• Champion platform adoption across the department, ensuring bench scientists are trained and supported on core tools.
• 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 end-to-end assay development and screening laboratory information management systems (LIMS), ensuring complete, traceable data trails and digital twins.
• Design and integrate Agentic AI tools and Design of Experiments (DoE) frameworks.
• Build and adjust pipelines connecting specialized raw instrument outputs directly with databases to achieve robust FAIR data standards.
• Coordinate user onboarding, train bench scientists, and champion platform adoption across the broader scientific community.
• Accelerate assay design and execution times, lower processing error rates, and resolve operational bottlenecks for specialized teams.

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

Roche is dedicated to advancing science and ensuring access to healthcare for everyone, today and for generations to come. With more than 100,000 employees worldwide, Roche's efforts result in over 26 million people treated with its medicines and more than 30 billion tests conducted using its Diagnostics products. Roche empowers employees to explore new possibilities, foster creativity, and deliver life-changing healthcare solutions that make a global impact. Roche is an Equal Opportunity Employer.

At Roche’s Pharmaceutical Research and Early Development organization (pRED), the team is united by the mission to transform science into medicines. The Therapeutic Modality (TMo) organization translates disease biology into high-quality drug candidates across various modalities, driving innovation through cross-disciplinary collaboration. The culture is defined by curiosity, responsibility, and humility, empowering talented people to bring forward extraordinary life-changing innovation at speed.