Sr. Manager, Solution Engineer, Visualization, Analytics & Collaboration

Role Summary

Discovery, Preclinical, and Translational Solutions (DP&TS) sits at the center of Pfizer’s scientific software work, building the digital tools that help researchers move from target identification through clinical translation.

This is a hands-on engineering role. You’ll build and run workloads on AWS and GCP using Kubernetes and containers, and you’ll write production code in Python or JavaScript/TypeScript. You’ll own both the platforms and the applications that run on them.

We’re looking for a Solution Engineer to own data visualization, analytics, and collaboration capabilities for integrative biology within DP&TS. In this individual contributor role you’ll design, build, and maintain the platform, not just direct others. You’ll also work closely with the aligned capability lead to prioritize what gets built.

You’ll need strong technical depth in data visualization, analytics, collaboration platforms, and cloud-native engineering, along with the ability to set standards for the capability area. You’ll lead contractors as needed and partner across scientific, product, and engineering stakeholders to deliver secure, scalable solutions.

Reporting to the Principal Engineer, Integrative Biology Solutions, you’ll own the technical direction for visualization, analytics, and collaboration capabilities. This role doesn’t conduct data science research but you’ll need a strong grasp of how data scientists work and what they need from visualization and collaboration tooling to build the right platform.

Your technical decisions affect the speed, quality, and reproducibility of research across DP&TS. The problems cross scientific workflows, data engineering, and cloud infrastructure.

Key Responsibilities

• Own and Lead Solution Implementation: own visualization, analytics, and collaboration solutions for Integrative Biology end-to-end: design, build, deployment, and maintenance.
• Collaborate with Capability Lead on Prioritization and Roadmap: work with the R&D Capability Lead to prioritize and scope features; translate scientific needs into concrete technical requirements and delivery plans.
• Design and Implement Advanced Visualization and Analytics Solutions: architect, build, and maintain scalable visualization and analytics solutions for Integrative Biology research, including interactive dashboards, visual exploration tools, and platforms that handle large-scale biological datasets.
• Build and Operate Cloud Infrastructure: design, provision, and operate infrastructure on AWS and GCP using infrastructure-as-code. Deploy and manage containerized workloads on Kubernetes (EKS, GKE), including cluster configuration, networking, access control, scaling, and cost management.
• Develop Production Software: write, test, and maintain production-quality code in Python or JavaScript/TypeScript, including services, APIs, automation, and web-based visualization applications. Follow sound engineering practices: version control, code review, automated testing, and CI/CD.
• Deliver Collaboration Solutions: build and maintain collaboration environments that let data scientists and research teams share and explore biological data securely and reproducibly.
• Lead Contractor Teams and Delivery: direct contractor teams when needed: provide technical guidance, review work, and hold delivery to quality and security standards.
• Define Standards and Best Practices: set and maintain technical standards and governance frameworks for the capability area, ensuring consistency and quality across the Integrative Biology ecosystem.
• Drive Continuous Improvement and Operational Excellence: proactively identify and address reliability, performance, scalability, and security gaps through monitoring, logging, and alerting across ...

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