WHAT YOU'LL DO:
- Serve as a subject matter expert in semantic web development on our graph data team, contributing to initiatives that integrate AI, LLMs, and advanced graph technologies.
- Collaborate with the Staff Semantic Engineer and other senior engineers to standardize tooling, design patterns, and modeling approaches.
- Help define the technical direction for core semantic capabilities, ensuring scalable and robust solutions.
- Independently research, evaluate, and propose innovative solutions to complex and ambiguous technical challenges.
- Build and manage scalable knowledge graph solutions, including data ingestion, linking, and querying mechanisms.
- Write, test, and document clean, maintainable code, and apply automation to testing, integration, and deployment processes.
- Partner with product owners to refine features into actionable user stories that deliver business value.
- Evaluate and recommend external taxonomies and ontologies; author new ones as needed to support our domain.
- Recommend and implement semantic web tools, platforms, and technologies.
- Support ontology governance processes and enterprise graph management tools.
- Collaborate with stakeholders, including data scientists, engineers, and developers, to understand requirements and build effective semantic solutions.
- Provide technical mentorship to junior team members on semantic web principles and implementation patterns.
WHAT YOU'LL NEED:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related STEM field
- 5+ years of hands-on experience in semantic web or knowledge graph engineering, including leading complex projects.
- Proven experience with graph databases or triple stores such as Amazon Neptune, Neo4j, Virtuoso, or GraphDB. (Amazon Neptune preferred)
- Strong proficiency in Python; familiarity with other languages (e.g., Java, C#, JavaScript, Clojure) is a plus.
- Practical experience with RDF, OWL, SPARQL, and ideally SHACL.
- Experience with relational databases (SQL) and graph databases (SPARQL).
- Hands-on experience with ontology/graph tools such as Protégé, TopBraid, or Metaphactory. (Metaphactory preferred)
- Solid understanding of data modeling, ETL processes, and data governance.
- Experience with cloud platforms (AWS preferred) and their data services.
- Understanding of AI/ML concepts and how semantic data can enhance AI applications.
- Familiarity with CI/CD, agile practices, and infrastructure tools like Git, Jenkins, Azure DevOps, and Terraform.
- Strong communication and problem-solving skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Bonus: Understanding of healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10.
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What We Do
We are a team of dedicated clinical terminologists, data scientists, industry subject matter experts, and informaticists who helped facilitate the evolution from analogue to digital capture of clinical events, the precise code-mapping that simplifies complex workflows, and the translation of unstructured into structured data. We “wrote the digital dictionary” used in every major EHR, and we are leveraging clinical AI to generate insights that expand and deepen our impact across the healthcare ecosystem.
At the end of the day, we don’t make decisions for our clients. We provide them with the digital tools to enable sound decision-making.
Why Work With Us
We are building a clinical intelligence stack—medical ontology, human expertise, and AI—that makes data more useful and more powerful. By enhancing data’s structure, richness, and precision, we reduce noise and error, streamline complexity, and create clarity across the clinical information chain.
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