Combine the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to radically accelerate and improve scientific outcomes.
Pros
Extremely focused Transparent about goals and customer goalsCons
They are finishing their early stageExperienced Quality Engineer needed to lead QA for scientific AI applications, design comprehensive tests and automation, and ensure data integrity across cloud-native workflows.
TetraScience is hiring a Scientific Data Architect in the Boston region to design reusable scientific data models, implement cloud-based pipelines and integrations, and deliver AI-enabled outcomes for biopharma customers.