Senior Product Leader (Translation and Integrated Evidence)

We’re passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world’s most complex health challenges and transforming society.

The Opportunity

As a Senior Product Leader within the Translation and Integrated Evidence (TIE) domain, you will own and drive the vision for transformative digital products that bridge data, advanced AI, and scientific discovery across gRED and pRED. In this role, you will partner directly with world-class R&D scientists, computational researchers, and software engineers to turn multifaceted biological data into breakthrough clinical insights.

Lead end-to-end product strategy and execution for critical platforms within the TIE portfolio, driving measurable scientific outcomes.

Translate complex R&D scientific workflows and data lifecycle requirements into prioritized roadmaps, user stories, and precise functional specifications.

Partners with engineering leads to champion modern computational architectures, cloud-native tools, and emerging AI/agentic technologies.

Drive operational excellence across the product lifecycle, managing resourcing, timelines, stakeholder communication, and delivery milestones.

Lead modernization and technical debt reduction efforts, systematically consolidating or decommissioning legacy software platforms.

Align cross-functional initiatives across Data & Digital Catalysts (DDC) and the broader Computational Sciences Center of Excellence (CS CoE).

Cultivate trusted, high-impact partnerships with therapeutic area scientists, bioinformaticians, and enterprise executive leaders.

Who you are

Bachelor’s degree with 4+ years, or an advanced degree (Master’s/PhD) with 2+ years of experience delivering impactful informatics or digital products within biotechnology or life sciences.

Demonstrated track record in technical product management, encompassing vision setting, user journey mapping, backlog prioritization, and roadmap execution for custom-built or COTS platforms.

Hands-on domain expertise navigating scientific data lifecycle, including data integration, analytics pipelines, multi-omics, or scientific data visualization.

Agile and forward-thinking technologist with enthusiasm for modern AI tools, agentic workflows, and machine learning adoption to accelerate R&D delivery.

Collaborative communicator skilled in influencing cross-functional teams without direct authority and articulating product vision across scientific, technical, and executive audiences.

Preferred

Advanced degree in Bioinformatics, Computational Biology, Computer Science, Data Science, or related life science disciplines.

Direct experience supporting drug discovery and translational research workflows across early-stage (gRED/pRED) pipelines.

Proven track record implementing modern cloud-based informatics architectures, FAIR data principles, and API-driven enterprise integrations.

Experience navigating matrixed global organizations with distributed software engineering teams.

Location

This role is based in South San Francisco and offers a hybrid schedule working 3 daysday per week on campus

No relocation benefits are available for this posting

The expected salary range for this position based on the primary location of CA is $126,100- $234,100. Actual pay will be determined based 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. This position also qualifies for the benefits detailed at the link provided below.