Genentech · 1 day ago
Senior Principal Product Leader for In Vivo Workflows
South San Francisco, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$170K/yr - $316K/yr
10+ years expGenentech is a company focused on advancing science and healthcare innovation. The Senior Principal Product Leader for In Vivo Workflows will define and execute strategies for integrated workflow products in drug discovery research, ensuring seamless data integration and enhancing scientific productivity.
BiotechnologyLife ScienceManufacturing
Responsibilities
Define the vision, strategy, and multi-year roadmap for integrated In Vivo workflow products, aligned with research priorities and portfolio needs
Manage a portfolio of products and solutions supporting In Vivo Research
Deliver end-to-end, research-centric workflows that connect study design, protocol execution, animal cohorts, dosing and observations, sample and material lifecycles, assay outputs, and insights, with clear provenance, access controls, and auditability
Drive platform interoperability using API-first, ontology-aligned patterns; ensure seamless integration with ELN, LIMS, lab automation, instrumentation, and data platforms, and consistent use of GUPRIs and governed master data
Translate scientific needs into product outcomes through continuous discovery with PIs, study directors, scientists, assay owners, and operations; convert validated use cases into prioritized epics with explicit success criteria
Sequence high-value deliveries from pilots to scaled adoption, balancing foundational platform capabilities with near-term scientific value; manage dependencies across adjacent product families and shared services
Lead change and adoption by establishing communication plans, training curricula, super-user networks, and continuous feedback loops
Orchestrate cross-functional delivery across product, engineering, data/AI, UX, QA/CSV, security, privacy, and vendors; remove blockers, manage risks, and maintain a durable delivery cadence
Develop talent and culture by mentoring product managers & software engineers, fostering scientific empathy, and promoting usability, experimentation, and continuous improvement across the domain
Qualification
Required
10+ years of product leadership in life sciences R&D (biotech, pharma, CRO, or research technology), with end-to-end ownership of complex products serving scientists and research operations
Deep literacy in in vivo and translational research workflows—from hypothesis and study design through protocol execution, observations, sampling, and downstream data analysis
Strong understanding of lab informatics foundations, including ELN/LIMS, automation, sample and material tracking, and how registries and master data (e.g., entity identifiers, controlled vocabularies) enable reproducibility
Systems and data acumen across API-first and event-driven integration patterns, data modeling and ontologies, lineage and provenance, access-control models (project- and study-based), and security and privacy-by-design
Demonstrated delivery of measurable outcomes (e.g., cycle-time reduction, first-time-right execution, reuse of entities and datasets, improved request-to-start SLAs), supported by telemetry and evidence-based iteration
Proven stakeholder leadership across PIs, study directors, lab managers, assay owners, data and AI teams, engineering, and executive sponsors; excellent written and verbal communication skills
Experience leading migrations from legacy tools, including data cleansing, schema mapping, cutover strategies, coexistence, and decommissioning with minimal disruption to active studies
Comfort operating in a global, matrixed organization with strong change management, roadmap sequencing, and risk management skills
Preferred
Advanced degree in a life science discipline and/or software engineering/research informatics (PhD, MS)
Extensive experience in software product management in Pharmaceutical/Biotech/Life Sciences domain; priori expertise in in vivo research highly preferred
Experience with master data management, FAIR data practices, and governance operating models (data stewardship, metadata quality, change control)
Familiarity with lab automation and instrument integration across relevant assay families (e.g., bioanalytical, PK/PD, flow cytometry, imaging, sequencing/omics)
Exposure to AI/ML enablement in research (harmonized identifiers, curated training datasets, model reproducibility) and to ethical, privacy, consent, and IP constraints in preclinical and human-sourced data
Benefits
A discretionary annual bonus may be available based on individual and Company performance.
Relocation benefits are available for this job posting.
Company
Genentech
Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines.
10001+ employees
H1B Sponsorship
Genentech has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (167)
2024 (148)
2023 (150)
2022 (178)
2021 (121)
2020 (158)
Funding
Current Stage
Public CompanyTotal Funding
unknown2009-03-26Acquired
1999-07-20IPO
1976-01-01Series Unknown
Leadership Team
Ashley Magargee
Chief Executive Officer
Michael Laird
Vice President, Global MSAT Drug Substance Biologics Technology and Commercial Products Support
Recent News
2026-01-07
Company data provided by crunchbase