Senior Product Leader, Therapeutics Discovery

Genentech • Daly City, CA

9d • $126,100 - $234,100

About The Position

The Computational Sciences Center of Excellence (CS CoE) brings together scientific, data and computational capabilities to support research and early development across Genentech (gRED) and Pharma (pRED). Within CS CoE, Data and Digital Catalysts (DDC) connects informatics and scientific communities to create solutions that power scientific discovery and accelerate decision-making.

Reporting to the Therapeutics Discovery Domain Head, this role owns a defined subset of scientific informatics products that enable assay request, setup, execution and experimental data capture. The focus is on making data and metadata capture integral to experimental work: establishing scientific context before data are generated, capturing it early, and preserving what actually happened during execution. The products should support scientific purpose while making results interpretable, traceable and reusable for analysis, decision-making and machine learning.

The remit spans therapeutic modalities, with an emphasis on adaptable workflows that can support all drug discovery modalities over time. The role owns product roadmaps, prioritization and outcomes within its scope; translates scientific workflows into practical product requirements; coordinates with adjacent LIMS, instrument-capture and data-layer capabilities; and works with engineering and scientific partners to validate usability and drive adoption. It also tracks outcomes such as setup effort, metadata completeness and adoption, and supports sustainable maintenance and transitions to replacement capabilities.

The role is suited to experienced product leaders with substantial drug discovery understanding, as well as drug discovery scientists who have moved into informatics or digital solution delivery. Relocation benefits are not available. The expected salary range for the primary location of California is $126,100–$234,100. Actual pay depends 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. The position qualifies for benefits detailed at a link in the posting.

Requirements

• Bachelor's or advanced degree in a relevant scientific or technical discipline.
• Experience delivering impactful informatics solutions in biotechnology, pharmaceuticals or drug discovery.
• Substantial understanding of drug discovery and research contexts, including how assays inform scientific decisions and how experimental conditions affect interpretation.
• Credible experience working with discovery scientists.
• Experience translating scientific problems into useful informatics solutions through product management, business analysis, scientific informatics or related work.
• Demonstrated ability to prioritize needs, define requirements, and take ownership of delivery and outcomes within a defined scope.
• Understanding of experimental data and metadata, their relationships, and the context needed for scientific interpretation and reuse.
• Ability to work with scientific and technical partners to turn data and metadata needs into usable capture workflows.
• Ability to build trusted relationships, lead through influence, and communicate scientific needs and product decisions clearly to scientists, engineers and leadership.
• Collaborative approach to solving problems across team boundaries.
• Typical experience: PhD plus 1–3 years, master's degree plus 3–5 years, or bachelor's degree plus 4–7 years.

Nice To Haves

• Hands-on assay development or execution experience; preferred but not required.
• Experience with assay request or execution systems, LIMS, or experimental data capture.
• Experience applying product practices to scientific workflows.

Responsibilities

• Own the roadmap, prioritization and outcomes for assigned products within a product family; contribute to family strategy and align delivery with scientific priorities in collaboration with the Domain Head, product family leads and engineering partners.
• Understand assay request, preparation and execution workflows and translate them into product requirements that capture known experimental context during request and setup, minimize repeated entry, and update records with actual conditions, deviations and quality information.
• Partner with experimental scientists and computational users to define the data, identifiers, relationships and metadata needed to interpret and reuse results.
• Embed appropriate data and metadata capture and validation into workflows to support scientific analysis and machine learning without requiring scientists to reconstruct context after experiments.
• Enable capture into existing laboratory information management systems (LIMS) or the shared data layer being built, in line with agreed architecture.
• Coordinate with instrument-capture and data-layer teams to keep experimental context linked to results.
• Translate scientific needs into clear user stories, functional requirements and acceptance criteria.
• Work with engineering and scientific partners to evaluate usability, validate delivered capabilities and drive adoption.
• Develop reusable approaches while preserving meaningful differences across assays and modalities.
• Prioritize improvements within product scope that reduce manual workarounds and strengthen workflow reliability and data quality.
• Define and track outcomes such as setup effort, metadata completeness and adoption.
• Partner with engineering and support teams on sustainable maintenance and transitions to replacement capabilities.

Benefits

• A discretionary annual bonus may be available based on individual and Company performance.
• The position qualifies for benefits detailed at a link in the posting; specific benefits are not listed.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior