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Data & Semantic Model Architect

1 month ago
United States
Full-time
Senior
Data Architect
Data Science and Analytics
Microservices
Apply Now
TetraScience

TetraScience

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.

Biotechnology
51-250
Founded 2019
$99M raised
View All Jobs 4

Description

  • Design and own the Common Data Models (CDMs) and the Exchange Layer that provide a standardized semantic foundation for scientific data across customers.
  • Move the platform from bespoke, one-off mappings to a reusable, interoperable exchange layer that supports cross-customer data flow.
  • Define and create data contracts and standardized definitions that Forward Deployed Engineers and Architects rely on for rapid, reliable integrations.
  • Balance global standardization and local extensibility by defining immutable core model aspects and permissible extensions.
  • Translate high-level business goals into concrete data modeling strategies that drive time-to-insight for scientific use cases.
  • Design and implement complex ontologies, taxonomies, and semantic relationships linking domain entities (e.g., ELN entities to assay results).
  • Collaborate with Engineering to integrate models into software systems, ensuring ontologies support query performance and system scalability.
  • Establish governance for data quality, versioning, enforcement, and evolution of data contracts to ensure downstream consumer trust.
  • Partner with Scientific Business Analysts to convert ambiguous scientific requirements into rigorous, machine-readable data structures.
  • Architect models to ensure data is FAIR (Findable, Accessible, Interoperable, Reusable) and suitable for downstream AI/ML applications.

Requirements

  • 7+ years of experience in data architecture, informatics, or technical product leadership, especially within life sciences, healthcare, or manufacturing technology, or equivalent demonstrable experience unifying complex, multidomain data models and semantic layers.
  • Direct, hands-on experience implementing and extending Common Data Model frameworks such as HL7 FHIR, OMOP (OHDSI), Allotrope, or CDISC and understanding their strengths and limitations for biopharma R&D.
  • Proven mastery of terminology standardization and semantic curation, including semantic mapping, aggregation, and value set creation across vocabularies and instance data.
  • Experience designing and enforcing data contracts in microservices or platform environments, including versioning and governance approaches.
  • Hands-on expertise with semantic web standards and graph technologies such as RDF, OWL, SHACL, SPARQL and property graph concepts (LPG).
  • Demonstrated experience building data platforms or exchange layers that prioritize standardization and reusability across multiple customers.
  • Architectural versatility to move between high-level system design and low-level entity-relationship modeling.
  • Strong technical background with the ability to read code, understand API contracts, and discuss database internals and query performance trade-offs.
  • Bachelor's or Master's degree in a relevant field (e.g., Medical Informatics, Computer Science, Bioinformatics, Physics).

Interested in this position?

Apply directly on the company website

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