Scientific Data Architect

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.

• 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

• Ph.D. (7+ yrs) or M.S. (10+ yrs) in life sciences, bioinformatics, or computational disciplines
• Proven experience designing data architectures and pipelines for scientific or R&D environments
• Strong Python development skills; experience with APIs and data integration
• Familiarity with ELN/LIMS
  , scientific file formats, and lab informatics systems
• Excellent communicator who can engage both technical and scientific stakeholders