Scientific Data Architect

4 weeks ago


Boston, United States Insilico Search Partners Full time

OverviewScientific Data Architect – Life Sciences Data & AIAbout 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 DoPartner with R&D teams to map and model scientific data workflowsBuild 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 dataCollaborate with business analysts, data scientists, and AI/ML engineers to deliver production-ready solutionsRapidly prototype and iterate through demos and stakeholder feedbackWhat You BringPh.D. (7+ yrs) or M.S. (10+ yrs) in life sciences, bioinformatics, or computational disciplinesProven experience designing data architectures and pipelines for scientific or R&D environmentsStrong Python development skills; experience with APIs and data integrationFamiliarity with ELN/LIMS, scientific file formats, and lab informatics systemsExcellent communicator who can engage both technical and scientific stakeholdersSeniority levelMid-Senior levelEmployment typeFull-timeJob functionResearchIndustriesSoftware Development and Biotechnology Research #J-18808-Ljbffr



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