Semantic Data Modeler
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Job Location:
Chicago, IL - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
At IMO Health Semantic Data Modelers are key members of our ontology-driven graph engineering team helping to build andmaintaina virtualized intelligent and scalable medical terminology platform. Your work will empower over 740000 clinicians by enhancing how healthcare data is structured delivered and understood.
We are seeking an experiencedSemantic Data Modelerto join our team focusing on the development and application of Knowledge Graphs integrated with Data Science and Natural Language Processing (NLP) this critical role you will contribute to the design and implementation of semantic models bridging the gap between raw data sources and actionable clinical insights. You willutilizeyour skills in NLP and data analysis to enrich our knowledge graph ensuring high data quality and accessibility for semantic enrichment and clinical interoperability initiatives. This position requires strong technicalproficiencyand exceptional collaboration skills working closely with staff semantic engineers clinicians and content teams.
WHAT YOULL DO:
- Semantic Model Design:Contribute to the design development and iterative refinement of complex semantic data models with a focus on ontologies knowledge graphs and property graphs.
- Requirement Translation:Assistsenior team members in translating intricate cross-functional business needs into formal scalable knowledge graph structures ensuring tight alignment with the enterprise data strategy.
- Governance and Standards:Document semantic assets including detailed entity definitions relationship types axioms constraints and data lineage ensuring adherence toestablishedbestpracticesand fostering consistency across the organization.
- Graph Data Analysis & Feature Engineering:Utilizedata science methodologies and Python scripting to conduct exploratory data analysis (EDA) on graph structureidentifydata patterns perform feature engineering and support advanced analytics based on the knowledge graph.
- Data-Driven NLP Integration:Apply Natural Language Processing (NLP) techniques and tooling to unstructured clinical text and data streams toidentify extract and map new entities attributes and relationships directly into the semantic models effectively structuring raw data for machine learning consumption.
- Robust Data Quality:Implement andmaintaindata quality frameworks validation rules (e.g. using SHACL) and transformation logic within the semantic layer to ensure the accuracy reliability and consistency of the knowledge graph.
- Cross-Functional Partnership:Partner closely withStaffsemantic engineers clinicians content teams and business leaders to understand domain knowledge and requirements and ensure semantic solutions effectively meet organizationalobjectives.
- Research & Evaluation:Assist in researching evaluating andutilizingnew technologies methodologies and best practices in semantic modeling knowledge graph technologies and NLP to drive continuous process improvement.
- Knowledge Sharing:Proactivelysharetechnicalexpertiseand knowledge with peers and cross-functional teams.
WHAT YOULL NEED:
- BA/BS in a STEM field (e.g. Computer Science Data Science Bioinformatics) with 3-5 years of hands-on work experience in data modeling or data engineering.
- Proven hands-on experience in semantic modeling concepts (ontologies knowledge graphs property graphs).
- Expertise in Python for data manipulation analysis and pipeline development including libraries like Pandas/NumPy.
- Strong understanding of statistical and machine learning concepts (e.g. classification clustering regression) and their application to graph-based data.
- Demonstrated experience with NLP technologies and libraries (e.g. NLTK spaCy Gensim Hugging Face) for text extraction named entity recognition or relationship extraction.
- Strong working knowledge of graph database platforms (e.g. Amazon Neptune Neo4j etc.) and graph query languages (e.g. SPARQL or Gremlin).
- Familiarity with semantic web standards like OWL RDFS and SHACL.
- Experience with relational databases (SQL) and general data warehousing concepts.
- Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
- Experience in an Agile/Scrum environment iteratively developing and deploying data solutions.
NICE TO HAVE:
- Practical experience with AWS data services (e.g. Glue Sagemaker) and ETL/ELT methodologies.
- Understanding healthcare ontologies and standards like SNOMED-CT LOINC RxNorm and ICD-10.
$110000 - $160000 a year
Compensation at IMO Health is determined by job level role requirements and each candidates experience skills and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses equity or sales incentives which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.
IMO Health also offers a comprehensive benefits package. To learn more please visit IMO Healths Careers Page.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Key Skills
- Atl
- CMMS
- ABAP
- Community Support
- CRM
- Fleet
About Company
From clinical terminology to streamlined workflows to data standardization, we enable insights that help improve patient care across the healthcare ecosystem.
