Data & Semantic Model Architect

TetraScience

Data & Semantic Model Architect at TetraScience creating a unified semantic framework for scientific data. Driving interoperability and collaboration across life sciences with advanced modeling strategies.

Posted 5/12/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

About the role

Key responsibilities & impact

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. Move the platform from bespoke, one-off mappings to a standardized "exchange layer" that ensures interoperability.
Empower Forward Deployed Engineering: Create the data contracts and standardized definitions that FDEs rely on. Your models will be the toolkit that allows them to deploy faster and with higher confidence, knowing they are building on a stable, consistent semantic foundation.
Standardization vs. Flexibility: Strike the strategic balance between rigid global standards (for cross-customer exchange) and local flexibility. Define the core "immutable" aspects of the model versus where extension is permitted.
Translate high-level business goals (e.g., "accelerate time-to-insight for biologics") into concrete data modeling strategies. Ensure our semantic roadmap directly supports the scientific questions our customers—and our internal teams—need to answer.
Roll up your sleeves to design and implement complex ontologies and taxonomies. Model intricate scientific relationships (e.g., linking a "Cell Line" in an ELN to "Flow Cytometry Results") with precision.
Work directly with Engineering to architect the software systems that consume these models. Ensure that the "perfect" ontology does not break query performance or system scalability.
Establish the "rules of the road" for data quality and consistency. Define how data contracts are versioned, enforced, and evolved, ensuring that downstream consumers (AI teams, FDEs, Scientists) can trust the data structure.
Partner with Scientific Business Analysts to decode the complexity of biopharma R&D. Turn ambiguous scientific requirements into rigorous, machine-readable data structures.
Architect models that ensure our data is FAIR (Findable, Accessible, Interoperable, Reusable) and ready for downstream AI/ML applications.

Requirements

What you’ll need

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.
CDM Framework Expertise: Direct, hands-on experience implementing and extending Common Data Model frameworks such as HL7 FHIR, OMOP (OHDSI), Allotrope, or CDISC. You should know the strengths and limitations of each for biopharma R&D.
Terminology & Standardization: Proven mastery in standardizing messy, heterogeneous data using both standard vocabularies (such as terminology standards & ontologies) as well as proprietary or custom vocabularies. You must have experience semantically curating (semantic mapping & aggregation; ie value set creation) between and across vocabularies as well as discrete instance data.
Platform & Exchange Experience: Experience building data platforms where standardization and reusability were key value drivers. You have likely built models that serve as an exchange layer across multiple customers.
Technical Background: Strong proficiency in software development concepts; you should be comfortable reading code, understanding API contracts, and discussing database internals.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account TetraScience Website LinkedIn All Job Openings 51 - 200 employees Founded 2015 🤖 Artificial Intelligence 🧬 Biotechnology ☁️ SaaS 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. Data & Semantic Model Architect Job not on LinkedIn 🔥 20 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 🏛️ Architect 🦅 H1B Visa Sponsor Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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. Move the platform from bespoke, one-off mappings to a standardized "exchange layer" that ensures interoperability.
Empower Forward Deployed Engineering: Create the data contracts and standardized definitions that FDEs rely on. Your models will be the toolkit that allows them to deploy faster and with higher confidence, knowing they are building on a stable, consistent semantic foundation.
Standardization vs. Flexibility: Strike the strategic balance between rigid global standards (for cross-customer exchange) and local flexibility. Define the core "immutable" aspects of the model versus where extension is permitted.
Translate high-level business goals (e.g., "accelerate time-to-insight for biologics") into concrete data modeling strategies. Ensure our semantic roadmap directly supports the scientific questions our customers—and our internal teams—need to answer.
Roll up your sleeves to design and implement complex ontologies and taxonomies. Model intricate scientific relationships (e.g., linking a "Cell Line" in an ELN to "Flow Cytometry Results") with precision.
Work directly with Engineering to architect the software systems that consume these models. Ensure that the "perfect" ontology does not break query performance or system scalability.
Establish the "rules of the road" for data quality and consistency. Define how data contracts are versioned, enforced, and evolved, ensuring that downstream consumers (AI teams, FDEs, Scientists) can trust the data structure.
Partner with Scientific Business Analysts to decode the complexity of biopharma R&D. Turn ambiguous scientific requirements into rigorous, machine-readable data structures.
Architect models that ensure our data is FAIR (Findable, Accessible, Interoperable, Reusable) and ready for downstream AI/ML applications. 🎯 Requirements
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.
CDM Framework Expertise: Direct, hands-on experience implementing and extending Common Data Model frameworks such as HL7 FHIR, OMOP (OHDSI), Allotrope, or CDISC. You should know the strengths and limitations of each for biopharma R&D.
Terminology & Standardization: Proven mastery in standardizing messy, heterogeneous data using both standard vocabularies (such as terminology standards & ontologies) as well as proprietary or custom vocabularies. You must have experience semantically curating (semantic mapping & aggregation; ie value set creation) between and across vocabularies as well as discrete instance data.
Platform & Exchange Experience: Experience building data platforms where standardization and reusability were key value drivers. You have likely built models that serve as an exchange layer across multiple customers.
Technical Background: Strong proficiency in software development concepts; you should be comfortable reading code, understanding API contracts, and discussing database internals. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Product Architect 🔥 7 hours ago Keyfactor 201 - 500 🔐 Security 📡 Telecommunications 🏢 Enterprise Website LinkedIn All Job Openings Designs and implements architectural solutions while collaborating with engineering teams at Keyfactor, Inc. Focuses on aligning products with business objectives and technical standards. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 🏛️ Architect 🦅 H1B Visa Sponsor Project Architect – Facility Planner 🕒 2 days ago Gahagan and Bryant Associates, Inc. 51 - 200 Website LinkedIn All Job Openings Project Architect / Facility Planner at GBA designing complex life sciences facilities. Collaborating with clients and engineers on facility layouts and operational needs. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 🏛️ Architect Architect 🕒 2 days ago Presidio 1001 - 5000 🤝 B2B 🤖 Artificial Intelligence 🔒 Cybersecurity Website LinkedIn All Job Openings Software Architect at Presidio delivering engineering solutions through innovative digital and AI technologies. Collaborating with teams to drive technical excellence and deliver high-quality software solutions. 🇺🇸 United States – Remote 💰 Private equity on 2011-05 ⏰ Full Time 🟠 Senior 🔴 Lead 🏛️ Architect 🦅 H1B Visa Sponsor Architect 🕒 2 days ago Presidio 1001 - 5000 🤖 Artificial Intelligence 🔒 Cybersecurity 🏢 Enterprise Website LinkedIn All Job Openings Software Architect at Presidio delivering engineering solutions in tech innovation. Collaborating with cross-functional teams to drive quality and excellence. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 🏛️ Architect 🦅 H1B Visa Sponsor Configuration Architect 🕒 2 days ago CareSource 1001 - 5000 ⚕️ Healthcare Insurance Website LinkedIn All Job Openings Configuration Architect responsible for building and maintaining technology strategy for CareSource's clinical systems while ensuring alignment with evolving business needs and communication. 🇺🇸 United States – Remote 💵 $94.1k - $164.8k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🏛️ Architect 🦅 H1B Visa Sponsor View More Architect Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

data architectureCommon Data ModelsHL7 FHIROMOPAllotropeCDISCsemantic mappingdata modelingontologiestaxonomies

Soft Skills

strategic balancecollaborationproblem-solvingcommunicationleadershipanalytical thinkingadaptabilityattention to detailcreativitycritical thinking