TetraScience builds Tetra OS, an AI-native operating system that unifies scientific data, use-case generation, and advanced AI into a single platform, enabling biopharmaceutical companies to convert fragmented lab data into governed, reusable, AI-ready memory and automate discovery, development, and manufacturing workflows. The platform integrates a Scientific Data Foundry, a Scientific Use Case Factory, and Tetra AI, whose agentic capabilities guide scientists through complex experiments, surface cross-domain insights, and accelerate decision-making. By partnering with leading biopharma organizations and technology giants such as NVIDIA, Databricks, Snowflake, Google, and Microsoft, TetraScience is replatforming the world's scientific industries for the AI era. The company's distinctive value lies in its end-to-end data governance, AI-driven automation, and the Sciborgs consulting practice that embeds new workflows into daily practice.
Open Positions
Scientific Product Marketing Manager - Scientific AI Use Cases
Formal education in a Scientific discipline and 5+ years of product marketing experience in life sciences
Senior Applied AI/ML Engineer- Vienna, Austria
10+ years of AI/ML experience, advanced degree in Biological, Data, or Computer Science, and proven track record of deploying AI models addressing real world problems
Software Engineer III - Lab Data Automation
5+ Years of experience, full-stack development, Node.js or Python, web front-end frameworks, container technologies, cloud infrastructure, unit tests, debugging skills, communication skills, experience in Life Sciences or scientific data
Scientific Data Architect - Japan
7+ years of industry experience in life sciences or 10+ years with a Master's degree
Scientific Data Architect -Vienna, Austria
PhD/Masters in life sciences, 7+ years/10+ years of industry experience, experience in AI/ML-driven use cases
Senior Software Engineer -Data Sync Application
8+ years of experience in distributed systems, proficiency in Node.js and cloud infrastructure, and experience with data management tools
Lead Platform Engineer
10+ years of software and infrastructure engineering experience, experience as a technical leader or architect, and expertise in AWS cloud services and architecture
Lead, Technical Enablement & Developer Relations
2+ years professional experience in a Life Sciences company and/or a scientific background, 3+ years professional experience as data scientist, scientific data engineer, or solutions architect, 2+ years professional experience in technical enablement and/or developer relations
Software Engineer III - Data Applications
5+ years of experience in developing distributed systems, proficiency in Node.js, Typescript, and databases, and a bachelor's or master's degree in Computer Science
Scientific Data Architect - Ireland
7+ years of industry experience in life sciences, expertise in drug discovery, preclinical development, CMC, or product quality testing, and a proven track record of implementing AI/ML-driven use cases
+135 More Jobs Available!
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