Job Overview
Location
United States
Job Type
Full-time
Category
Data & Analytics
Date Posted
May 12, 2026
Full Job Description
📋 Description
- • The Data & Semantic Model Architect will serve as the technical and strategic anchor for the Semantic Layer and Common Data Model (CDM) of Tetra Scientific Data and AI Cloud, enabling life sciences firms to turn fragmented scientific data into AI-native assets that accelerate discovery and manufacturing.
- • Day to day, the role involves architecting the Exchange Layer by designing unified Common Data Models, empowering Forward Deployed Scientific Data Engineers with standardized data contracts, balancing global standards with local flexibility, designing complex ontologies for scientific relationships, integrating semantic models with software systems, establishing data governance and versioning rules, translating scientific requirements into machine-readable structures, and ensuring FAIR data principles for AI/ML readiness.
- • TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence, with strategic partnerships including NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft, helping leading life sciences firms unify data for faster scientific workflows.
- • The person will learn to design scalable semantic architectures at the intersection of life sciences and AI, gain deep expertise in healthcare and biopharma data standards (FHIR, OMOP, Allotrope, CDISC), lead cross-functional data governance initiatives, and shape the foundational data layer that enables enterprise-scale scientific discovery and AI innovation.
🏖️ Benefits
- • Opportunity to work with strategic partners including NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft
- • Role in building Tetra OS, the operating system for scientific intelligence, impacting global life sciences innovation
- • Ownership of the Common Data Model and Exchange Layer, serving as the technical and strategic anchor for scientific data interoperability
- • Collaboration with Forward Deployed Scientific Data Engineers and Scientific Business Analysts to translate complex R&D needs into machine-readable structures
- • Work at the forefront of FAIR data principles and AI/ML-ready scientific data architecture in a mission-driven, high-impact environment
Skills & Technologies
About TetraScience, Inc.
TetraScience is a cloud-based data platform designed for the life sciences industry. It offers a unified solution for managing and analyzing scientific data generated from various laboratory instruments and sources. The platform aims to accelerate scientific discovery and innovation by providing a centralized, secure, and scalable environment for data integration, storage, and analysis. TetraScience's technology helps organizations overcome data silos, improve data quality, and enable advanced analytics, ultimately supporting research and development efforts in pharmaceuticals, biotechnology, and other scientific fields.
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