TetraScience is the only vendor neutral, open, cloud native platform purpose built for science, providing next generation lab data automation and scientific data management to accelerate scientific discovery and improve human life.
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Data & Semantic Model Architect at TetraScience to own and architect the Common Data Model and Semantic Layer of the Scientific Data and AI Cloud, enabling interoperable data exchange across customer environments to accelerate scientific insight.
Enterprise Account Executive at TetraScience responsible for driving adoption and revenue growth of the Scientific Data Cloud by acquiring and expanding enterprise life-sciences accounts.
Senior Product Manager, Model Infrastructure & Execution Services at TetraScience leading the strategy and delivery of the platform “Compute & Execution” layer to orchestrate, deploy, and monitor ML workloads so scientific teams can move from raw data to production-grade inference with zero friction.
Senior Informatics Engineer at TetraScience responsible for bridging scientific meaning and software implementation by developing and formalizing semantic, modeling, knowledge-graph, and ontology services across the Tetra Data Platform. The role's main objective is to make platform data scientifically rigorous and architecturally scalable by operationalizing formal terminologies, vocabularies, ontologies, and integration with data-in-flight pipelines.
