Insilico Search Partners · 3 days ago
Scientific Data Architect/Engineer
Insilico Search Partners is seeking a Scientific Data Architect/Engineer to design and deliver next-generation data solutions that accelerate discovery across the life sciences. The role involves transforming complex experimental workflows into scalable, cloud-based data models and collaborating with various teams to deliver production-ready solutions.
Responsibilities
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
Qualification
Required
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
Preferred
Experience with cloud tools (AWS preferred)
Experience developing visualization and app frameworks (e.g. Streamlit, Plotly, Holoviews)
Company
Insilico Search Partners
Bridging biotech and computation—one strategic hire at a time.
Funding
Current Stage
Early StageCompany data provided by crunchbase