below marketmost similar roles pay hereabove market
This role pays less than
65%
of similar roles. Most pay
$177,137–$221,087
— the blue band above.
At the midpoint, this role pays about
$180k
versus about
$199k
for comparable roles.
Based on 240 similar postings.
Employer
About Genentech
Genentech is a leading research-driven company dedicated to discovering and developing, manufacturing, and commercializing medicines for people with serious and life-threatening diseases.
Genentech currently has
36 open roles
on FindRole.
Listed pay typically runs
$146,000–$271,100
across 18 roles with salary data.
As a Senior Product Leader within the Translation and Integrated Evidence domain, you will own the vision and execution for digital products bridging data, advanced AI, and scientific discovery across gRED and pRED. You will partner with R&D scientists, computational researchers, and software engineers to transform multifaceted biological data into clinical insights. Key responsibilities include leading end-to-end product strategy, translating scientific workflows into prioritized roadmaps and functional specifications, and managing the product lifecycle. You will champion modern computational architectures, cloud-native tools, and emerging AI/agentic technologies while reducing technical debt. Required skills include technical product management, user journey mapping, and expertise in data integration, analytics pipelines, multi-omics, and scientific data visualization. You will support drug discovery and translational research workflows using FAIR data principles and API-driven enterprise integrations.
Lead end-to-end product strategy and execution for critical platforms within the TIE portfolio.
Translate complex R&D scientific workflows into prioritized roadmaps, user stories, and functional specifications.
Partner with engineering leads to champion modern computational architectures and emerging AI technologies.
Manage product lifecycle operations including resourcing, timelines, stakeholder communication, and delivery milestones.
Lead modernization efforts to reduce technical debt and decommission legacy software platforms.
Align cross-functional initiatives across Data & Digital Catalysts and the Computational Sciences Center of Excellence.
Cultivate high-impact partnerships with therapeutic area scientists, bioinformaticians, and enterprise executive leaders.
What we're looking for
Bachelor’s degree with 4+ years, or an advanced degree (Master’s/PhD) with 2+ years of experience delivering informatics or digital products in biotechnology or life sciences.
Demonstrated track record in technical product management, including vision setting, user journey mapping, backlog prioritization, and roadmap execution.
Hands-on domain expertise in scientific data lifecycles, including data integration, analytics pipelines, multi-omics, or scientific data visualization.
Proficiency in Agile methodologies and modern technologies like AI tools, agentic workflows, and machine learning.
Ability to communicate and influence cross-functional teams across scientific, technical, and executive audiences.
Advanced degree in Bioinformatics, Computational Biology, Computer Science, Data Science, or related life science disciplines (preferred).
Direct experience supporting drug discovery and translational research workflows across early-stage pipelines (preferred).
Proven track record implementing cloud-based informatics architectures, FAIR data principles, and API-driven enterprise integrations (preferred).
AI
ML
Data Science
Cloud
Microservices
APIs
SaaS
GxP
GDPR
FAIR Data
Data Pipelines
Product Roadmap
Data Privacy
Statistical Analysis
Real-World Data
RWD