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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TetraScience is seeking a Senior Scientific Data Engineer to build data models, prototypes, and integration solutions for scientific lab data products in close collaboration with product and solution teams.
TetraScience is hiring a Senior AI Platform Engineer to design and scale cloud-based AI and data infrastructure that supports production-grade MLOps, AI/ML workflows, and emerging LLM use cases.
TetraScience is seeking a hands-on Product Security Technical Lead to lead application and cloud security for its SaaS and data platforms, driving secure design, testing, automation, and incident response across the product lifecycle.
TetraScience is hiring a player-coach sales leader to own the Americas business, drive revenue in life sciences, and build a high-performing team while expanding the company’s footprint across pharmaceutical customers.
TetraScience is seeking a Lead Software Engineer to build and evolve a scientific search platform that supports chemical, semantic, and natural language retrieval across complex bio-pharma R&D data.
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.
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.
