Senior Scientific Product Manager

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 (CS 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 Data and Digital Catalysts (DDC) department within the CS CoE is a diverse, curious and action-driven team at the intersection of computation, engineering and science with ambition to advance our technical excellence. The focus of the team is on partnering with the informatics and scientific communities to create a computational and data ecosystem that powers scientific discovery and accelerates decision making.

We aim to modernize our ability to acquire, store, link, share, find and analyze data across the organization through scalable and integrated solutions that truly make every data point count. Reporting to the Domain Head for Lab Workflows & Data, this Senior Product Leader will play a key role in defining and executing the strategy for a family of products that are critical for drug discovery research.

The Lab Workflows & Data domain provides the end-to-end digital backbone for research design, experiment management, assay data & insights, and Lab Workflows & Data . It spans hypothesis and study design (protocol authoring, approvals, ELN linkage), experiment orchestration (intake, scheduling, LIMS/LES execution), and the full sample/material lifecycle with automation, provenance, and chain-of-custody. It delivers assay data & insights capabilities—standardized ingestion, processing/secondary–tertiary pipelines, QC, lineage, harmonization, and analytics-ready datasets—underpinned by governed research master data, shared ontologies, and interoperable APIs.

As a Senior Scientific Product Leader for Lab Workflows & Data, you will lead an integrated product strategy for lab workflows, research data, and AI/ML enablement. Working with senior scientific leadership across Research and Development, you will translate scientific priorities into an outcomes-driven roadmap spanning study design, entity selection and registration, protocol execution, data acquisition and processing, and insights. You will make high-quality, governed, reproducible, and reusable data a core product outcome—not simply an output of workflow execution.

Your roadmap will address the identifiers, metadata, provenance, harmonization, and data quality needed to support scientific analysis, training-set curation, and model reproducibility. Partnering with scientists, lab managers and operations, automation specialists, technical capability leaders, and product, engineering, data/AI, and UX teams, you will translate research needs into prioritized workflow, data, and AI/ML capabilities. You will balance foundational investments with high-value deliveries, establish explicit success criteria, and guide capabilities from pilots to scaled adoption—reducing hand-offs and rework, accelerating learning cycles, and improving…