Senior Product Leader, Therapeutics Discovery

Roche • South San Francisco, CA

9d • $126,100 - $234,100

About The Position

The Senior Product Leader, Therapeutics Discovery owns a defined subset of scientific informatics products that enable assay request, setup, execution, and experimental data capture. Reporting to the Therapeutics Discovery Domain Head, the role makes data and metadata capture an integral part of experimental work by establishing scientific context before data generation, capturing it as early as possible, and preserving what occurred during execution. Products must support the original scientific purpose while making results interpretable, traceable, and reusable for scientific 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, priorities, and outcomes for assigned products, contributes to product-family strategy, and aligns delivery with scientific priorities. It translates scientist workflows and needs into practical requirements, user stories, and acceptance criteria; partners with experimental scientists, computational users, engineering teams, and adjacent capabilities; and helps validate usability and drive adoption. It also prioritizes workflow improvements, tracks measurable outcomes such as setup effort, metadata completeness, and adoption, and supports sustainable maintenance and transitions to replacement capabilities.

The position welcomes experienced product leaders with substantial drug discovery understanding as well as drug discovery scientists who have moved into informatics or digital solution delivery. Scientific credibility, practical product capabilities, and ownership of outcomes are essential; prior leadership of a broad product family is not required. 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 also qualifies for benefits detailed at the link provided 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 the drug discovery and research context, 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 own 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 for this role: 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.
• 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.
• Understand assay request, preparation, and execution workflows and translate them into product requirements that capture known experimental context, minimize repeated entry, and record 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 capture and validation into workflows to support scientific analysis and machine learning without requiring scientists to reconstruct context after experiments.
• Enable capture into existing LIMS or the shared data layer under development, 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 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 the benefits detailed at the link provided in the posting; specific benefits are not listed in the supplied description.

What This Job Offers

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