Scientific Data Architect

Overview

Scientific Data Architect – Life Sciences Data & AI

About the Role : We’re seeking a Scientific Data Architect to design and deliver next-generation data solutions that accelerate discovery across the life sciences.

You’ll work hands-on with scientists and engineers to transform complex experimental workflows into scalable, cloud-based data models, pipelines, and visualization tools.

If you love bridging science, data, and engineering —and thrive in collaborative, high-impact environments—this role is for you.

What You’ll Do

• Partner with R&D teams to map and model scientific data workflows
• Build scalable data pipelines and integrations using Python , APIs, and cloud tools (AWS preferred)
• Develop visualization and app frameworks (e.g. Streamlit, Plotly, Holoviews )
• Design extensible, reusable data models (tabular & JSON) for scientific data
• Collaborate with business analysts, data scientists, and AI / ML engineers to deliver production-ready solutions
• Rapidly prototype and iterate through demos and stakeholder feedback

What You Bring

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