TetraScience
life sciences
Data&SemanticModelArchitect
Neural analysis suggests this role is
optimal for Senior candidates.
“Data & Semantic Model Architect at TetraScience. Skills: Common Data Model Expertise, Data Contract Design, Semantic Fluency, Architectural Versatility, Terminology & Standardization, Platform & Exchange Experience. Architect the Exchange Layer: Design and own the Common Data Models (CDMs) that serve as the universal language for scientific data across our customer base.. Empower Forward Deployed Engineering: Create the data contracts and standardized definitions that FDEs rely on.”
What You'll Achieve.
Accelerate discovery, development, and manufacturing.; Turn fragmented scientific data into AI-native assets and scientific workflows.; Deliver rapid, reliable integrations without reinventing the wheel for every deployment.; Ensure our models are not just academically sound, but serve as the robust foundation for scalable data exchange and scientific insight.; Ensure that the 'perfect' ontology does not break query performance or system scalability.; Ensuring that downstream consumers (AI teams, FDEs, Scientists) can trust the data structure.
Industry & Context.
What They're Looking For.
Must Have
7+ years of experience in data architecture, informatics, or technical product leadership, specifically within life sciences, healthcare, manufacturing technology or the ability to demonstrate complex, multidomain unification of data models & semantic layers., Bachelor's or Master’s +in a relevant field (e. g. , Medical Informatics, Computer Science, Bioinformatics, Physics)., Proficiency in software development you should be comfortable reading code, understanding API contracts, and discussing database internals.
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
Architect the Exchange Layer: Design and own the Common Data Models (CDMs) that serve as the universal language for scientific data across our customer base.
Empower Forward Deployed Engineering: Create the data contracts and standardized definitions that FDEs rely on.
Standardization vs. Flexibility: Strike the strategic balance between rigid global standards (for cross-customer exchange) and local flexibility.
Semantic Architecture & Implementation: Translate high-level business goals into concrete data modeling strategies.
Hands-on Modeling: Roll up your sleeves to design and implement complex ontologies and taxonomies.
Software & Data Engineering Integration: Work directly with Engineering to architect the software systems that consume these models.
Data Contracts & Governance: Establish the 'rules of the road' for data quality and consistency.
Scientific Translation: Partner with Scientific Business Analysts to decode the complexity of biopharma R&D.
Interoperability: Architect models that ensure our data is FAIR (Findable
Reusable) and ready for downstream AI/ML applications.
How You'll Work.
Team & Collaboration
Work directly with Engineering to architect the software systems that consume these models.; Partner with Scientific Business Analysts to decode the complexity of biopharma R&D.
Full Job Description
**About TetraScience** TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “[The Tetra Way](https://go.tetrascience.com/rs/152-SBL-014/images/The-Tetra-Way_v2.pdf?version=0),” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. ### The Role The Data & Semantic Model Architect will serve as the technical and strategic anchor for the "Semantic Layer" and the Common Data Model (CDM) of the Tetra Scientific Data and AI Cloud. You are the rare individual who can "do it all"—bridging deep technical semantics, system architecture, and business outcomes. Crucially, you will be the owner of the Common Model & Exchange Layer of our platform: a set of unified, reusable common data models that allow data to flow seamlessly across different customer environments while driving towards true Ontology. You will define the data contracts and consistent definitions that empower our Forward Deployed Scientific Data Engineers & Architects (FDEs) to deliver rapid, reliable integrations without reinventing the wheel for every deployment. You will ensure our models are not just academically sound, but serve as the robust foundation for scalable data exchange and scientific insight. ### What You Will Do 1\. Common Data Model & Exchange Strategy * Architect the Exchange Layer: Design and own the Common Data Models (CDMs) that serve as the universal language for scientific
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