Laboratory Data Ontologist

Semaphore Solutions$150K – $190K per yearUnited States only

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Laboratory Data Ontologist
Remote | Canada or US

Overview

We are seeking a Laboratory Data Ontologist to strengthen the semantic foundation of our platform and the client-specific ontologies deployed on top of it. Labbit is built on a typed entity graph — samples, containers, locations, instruments, pools, and their provenance — and every implementation is, at its core, a modelling exercise: mapping a client's scientific and operational vocabulary onto that graph without losing fidelity.

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Laboratory Data Ontologist at Semaphore Solutions · ApplyPick

Lead Modelling on Client Engagements (~50% billable)
Serve as the modelling lead on Advisory and Implementation engagements where ontology depth is the critical risk
Run discovery sessions to elicit and structure client domain models
Produce target ontologies — entity types, controlled vocabularies, field taxonomies, workflow decompositions — as billable deliverables
Review changeset designs for modelling quality alongside implementation engineers
Coach client counterparts on stewardship of their own model post go-live
Steward the Core Ontology
Own the conceptual model behind Labbit's base entity types (@Sample, @Container, @Location, @Instrument, @Reagent, @Pool) and their inheritance semantics
Maintain design principles for when to extend a base type vs. introduce a new one
Review proposed changes to the base ontology for coherence, minimalism, and long-term extensibility
Curate the shared reference/IRI namespace so aliases remain meaningful across changesets and clients
Codify Modelling Practice Across Advisory
Author internal standards for taxonomy design, controlled vocabulary governance, and ontology versioning
Identify reusable extension patterns across client engagements and promote them into shared libraries
Establish review rituals so modelling decisions are traceable and reversible
Train Advisory and Implementation staff in applied ontology techniques
Build a shared library of domain reference models for our priority verticals (QC manufacturing, clinical genomics, CGT, stability)
Support Sales
Join late-stage sales cycles to lead ontology discovery sessions with prospects
Produce lightweight target models that demonstrate fit without over-committing to configuration
Translate prospect terminology (assays, panels, batches, lots) into our model in real time during demos
Inform Platform Direction
Surface modelling gaps discovered across client work as candidate platform investments
Advise Platform Engineering on schema evolution semantics (changeset migrations, deprecations, aliasing)
Contribute to decisions about first-class vs. reference-data entities, computed fields, and graph traversal features

Laboratory Data Ontologist

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Overview

Laboratory Data Ontologist

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Overview

Why This Role Matters

What You Will Do

What You Will Not Do

Strongly Preferred

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