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
- 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
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Research
Industries
- Software Development and Biotechnology Research