
Artificial Intelligence • Biotechnology • SaaS
TetraScience is a company dedicated to transforming raw scientific data into AI-native datasets for advanced scientific applications. By collaborating closely with leading biopharmaceutical companies, TetraScience enhances productivity, accelerates insights, and ensures data integrity across the scientific value chain. Their platform offers solutions for next-generation lab data management, AI-driven scientific outcomes, and compliance with industry standards. As the first company to provide a data and AI cloud built specifically for science, TetraScience enables its clients to liberate, unify, and transform their data, overcoming traditional data silos and boosting scientific productivity by providing a flexible, open, and collaborative infrastructure.
June 3

Artificial Intelligence • Biotechnology • SaaS
TetraScience is a company dedicated to transforming raw scientific data into AI-native datasets for advanced scientific applications. By collaborating closely with leading biopharmaceutical companies, TetraScience enhances productivity, accelerates insights, and ensures data integrity across the scientific value chain. Their platform offers solutions for next-generation lab data management, AI-driven scientific outcomes, and compliance with industry standards. As the first company to provide a data and AI cloud built specifically for science, TetraScience enables its clients to liberate, unify, and transform their data, overcoming traditional data silos and boosting scientific productivity by providing a flexible, open, and collaborative infrastructure.
• TetraScience is the Scientific Data and AI Cloud company. • Catalyzing the Scientific AI revolution through AI-native scientific data sets. • Primary technical leader for scientific end-users in pharmaceutical and biotech. • Providing a strategic technical partnership to bridge business objectives and technical execution. • Understand scientists' and R&D IT analysts' needs to design and implement solutions.
• Scientific background academic and/or 5+ years professional experience in Life Sciences • Senior Technical Architecture experience 5+ years • Commercial tech sales support • R&D IT OR Data & Informatics • Data Modeling: Understand logical, physical, and conceptual data models. • Database Systems: Proficiency in cloud RDBMS (like Snowflake) and NoSQL databases (like Redshift and Databricks). • Big Data Technologies: Familiarity with tools like Spark, and data warehousing solutions. • Cloud Platforms: Experience with cloud providers mainly AWS especially their data services, but also Azure, Google Cloud, • Data Governance and Quality: Understanding of data lineage, metadata management, and data quality processes and tools. • Analytics and BI Tools: Familiarity with tools such as Tableau, Power BI, QlikView, and their backend requirements.
• Competitive Salary and equity in a fast-growing company. • Supportive, team-oriented culture of continuous improvement. • Generous paid time off (PTO). • Flexible working arrangements - Remote work.
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