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About the Role
Roche's Research and Early Development organisations are leveraging AI, data, and computational sciences to transform drug discovery. The new Computational Sciences Center of Excellence (CS CoE) aims to harness this power to assist scientists in delivering innovative medicines. The Data and Digital Catalysts (DDC) department focuses on creating a computational and data ecosystem that powers scientific discovery and accelerates decision-making. This Senior Product Leader will define and execute the strategy for critical products within the Lab Workflows & Data domain, impacting drug discovery research.
Responsibilities
- Own an integrated workflow, data, and AI product strategy, defining vision, strategy, and roadmap aligned to scientific priorities.
- Make foundational data investments and their contribution to research outcomes explicit in roadmap decisions.
- Deliver integrated workflows connecting study design, protocol execution, sample/material lifecycle, assay outputs, and insights.
- Define product requirements for standardized ingestion, processing, QC, metadata, lineage/provenance, and harmonization.
- Lead AI product discovery and prioritization through continuous discovery with PIs, lab scientists, assay owners, and operations.
- Partner with data/AI and engineering teams to translate opportunities into product requirements, data-readiness requirements, prioritized epics, and success criteria.
- Drive governed platform and data interoperability using API-first, event-driven, ontology-aligned patterns.
- Ensure consistent use of GUPRIs, master data, and shared ontologies with clear provenance, access controls, and auditability.
- Lead change and adoption through communication plans, training curricula, onboarding, super-user networks, and feedback loops.
- Orchestrate cross-functional delivery, remove blockers, manage risks, and maintain a durable delivery cadence.
Requirements
- 5+ years of product leadership in life-sciences R&D (biotech/pharma, CRO, or research tech), including end-to-end ownership of a complex product area serving scientists and lab operations.
- Demonstrated AI product leadership in scientific research, including translating scientific needs into AI/ML product capabilities and defining success criteria.
- Deep research-data expertise, including understanding of how assay outputs become analysis-ready datasets.
- Strong systems and data-governance acumen, including experience with API-first and event-driven integration, data modeling, ontologies, master data management, FAIR data practices, metadata quality, and data stewardship.
- Track record of delivering measurable scientific and data outcomes, such as cycle-time reduction and improved data quality.
- Skilled at stakeholder leadership across PIs, lab managers, assay owners, data/AI teams, product/engineering, and executive sponsors.
- Comfortable operating in a matrixed, global organization; adept at change management, roadmap sequencing, and risk management for multi-team deliveries.
- Advanced degree in a life-science discipline (PhD, PharmD, MD, MS) or comparable hands-on lab experience.
- Experience with lab automation ecosystems and instrument/data integration across key assay families.
Skills
- AI/ML enablement
- Product strategy
- Roadmap definition
- Data acquisition
- Data storage
- Data linking
- Data sharing
- Data analysis
- Scalable solutions
- Integrated solutions
- Scientific discovery
- Decision making
- Study design
- Entity selection
- Protocol execution
- Data acquisition
- Data processing
- Insights generation
- Data governance
- Reproducible data
- Reusable data
- Metadata management
- Data provenance
- Data harmonization
- AI/ML product discovery
- API-first integration
- Event-driven integration
- Ontology alignment
- Master data management
- FAIR data practices
- Change management
- Risk management
Location
- South San Francisco
Work Type
- Onsite (at least 3 days a week)
Experience Level
- Senior
- 5+ years of product leadership
Education Level
- Advanced degree in a life-science discipline (PhD, PharmD, MD, MS) or comparable hands-on lab experience
Salary/Compensations
- $126,100 - $234,100
Benefits
- Discretionary annual bonus
- Benefits detailed at the provided link
About the Company
- Roche is driven by a mission to innovate and advance science for a healthier future, ensuring access to healthcare.
- The company leverages AI, data, and computational sciences to transform drug discovery and development.
- Genentech (gRED) and Pharma (pRED) are key research organizations within Roche.
- The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group focused on harnessing data and AI.
- The Data and Digital Catalysts (DDC) department is a diverse team at the intersection of computation, engineering, and science.
- The company culture is described as collaborative, thorough, and entrepreneurial.
- Employees are considered essential to success in bringing novel medicines to patients.
Equal Opportunity
- Genentech is an equal opportunity employer.
- Policy prohibits unlawful discrimination based on Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
- Employment, promotion, and treatment are based on merit, qualifications, and competence.