IMO Health
Overview
Semantic Data Modeler role at IMO Health. Join to apply for the
Semantic Data Modeler
role at
IMO Health . At IMO Health, Semantic Data Modelers are key members of our ontology-driven graph engineering team, helping to build and maintain a virtualized, intelligent, and scalable medical terminology platform. Your work will empower clinicians by enhancing how healthcare data is structured, delivered, and understood. We focus on the development and application of Knowledge Graphs integrated with Data Science and NLP workflows to design and implement semantic models that map raw data sources to actionable clinical insights. This position requires strong technical proficiency and exceptional collaboration skills, working closely with staff semantic engineers, clinicians, and content teams. What You’ll Do
Semantic Model Design: Contribute to the design, development, and iterative refinement of complex semantic data models, focusing on ontologies, knowledge graphs, and property graphs. Requirement Translation: Translate intricate, cross-functional business needs into formal, scalable knowledge graph structures aligned with the enterprise data strategy. Governance and Standards: Document semantic assets, including entity definitions, relationship types, axioms, constraints, and data lineage, ensuring adherence to best practices and consistency. Graph Data Analysis & Feature Engineering: Use data science methodologies and Python scripting to perform exploratory data analysis on graph structures, identify data patterns, and support analytics based on the knowledge graph. Data-Driven NLP Integration: Apply NLP techniques to unstructured clinical text and data streams to identify, extract, and map new entities, attributes, and relationships into semantic models. Robust Data Quality: Implement data quality frameworks, validation rules (e.g., SHACL), and transformation logic within the semantic layer to ensure accuracy and reliability of the knowledge graph. Cross-Functional Partnership: Collaborate with staff semantic engineers, clinicians, content teams, and business leaders to understand domain knowledge and requirements. Research & Evaluation: Assist in researching and evaluating new technologies and best practices in semantic modeling, knowledge graph technologies, and NLP. Knowledge Sharing: Proactively share technical expertise with peers and cross-functional teams. What You’ll Need
BA/BS in a STEM field with 3-5 years of hands-on work 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 Pandas/NumPy. Strong understanding of statistical and machine learning concepts and their application to graph-based data. Experience with NLP technologies and libraries (e.g., NLTK, spaCy, Gensim, Hugging Face). Working knowledge of graph database platforms (e.g., Amazon Neptune, Neo4j) and graph query languages (SPARQL or Gremlin). Familiarity with semantic web standards like OWL, RDFS, and SHACL. Experience with relational databases (SQL) and data warehousing concepts. Ability to communicate complex technical concepts to technical and non-technical stakeholders. Experience in an Agile/Scrum environment. Nice To Have
Experience with AWS data services (Glue, Sagemaker) and ETL/ELT methodologies. Understanding healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10. Compensation & Benefits
$110,000 - $160,000 a year. Compensation is determined by job level, role requirements, and candidate experience and location. The base pay represents the target for new hires; individual compensation may vary. This figure excludes potential bonuses, equity, or incentives, which may be part of the 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 Health's Careers Page. We may use AI tools to support parts of the hiring process. These tools assist our team but do not replace human judgment. Final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.
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Semantic Data Modeler role at IMO Health. Join to apply for the
Semantic Data Modeler
role at
IMO Health . At IMO Health, Semantic Data Modelers are key members of our ontology-driven graph engineering team, helping to build and maintain a virtualized, intelligent, and scalable medical terminology platform. Your work will empower clinicians by enhancing how healthcare data is structured, delivered, and understood. We focus on the development and application of Knowledge Graphs integrated with Data Science and NLP workflows to design and implement semantic models that map raw data sources to actionable clinical insights. This position requires strong technical proficiency and exceptional collaboration skills, working closely with staff semantic engineers, clinicians, and content teams. What You’ll Do
Semantic Model Design: Contribute to the design, development, and iterative refinement of complex semantic data models, focusing on ontologies, knowledge graphs, and property graphs. Requirement Translation: Translate intricate, cross-functional business needs into formal, scalable knowledge graph structures aligned with the enterprise data strategy. Governance and Standards: Document semantic assets, including entity definitions, relationship types, axioms, constraints, and data lineage, ensuring adherence to best practices and consistency. Graph Data Analysis & Feature Engineering: Use data science methodologies and Python scripting to perform exploratory data analysis on graph structures, identify data patterns, and support analytics based on the knowledge graph. Data-Driven NLP Integration: Apply NLP techniques to unstructured clinical text and data streams to identify, extract, and map new entities, attributes, and relationships into semantic models. Robust Data Quality: Implement data quality frameworks, validation rules (e.g., SHACL), and transformation logic within the semantic layer to ensure accuracy and reliability of the knowledge graph. Cross-Functional Partnership: Collaborate with staff semantic engineers, clinicians, content teams, and business leaders to understand domain knowledge and requirements. Research & Evaluation: Assist in researching and evaluating new technologies and best practices in semantic modeling, knowledge graph technologies, and NLP. Knowledge Sharing: Proactively share technical expertise with peers and cross-functional teams. What You’ll Need
BA/BS in a STEM field with 3-5 years of hands-on work 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 Pandas/NumPy. Strong understanding of statistical and machine learning concepts and their application to graph-based data. Experience with NLP technologies and libraries (e.g., NLTK, spaCy, Gensim, Hugging Face). Working knowledge of graph database platforms (e.g., Amazon Neptune, Neo4j) and graph query languages (SPARQL or Gremlin). Familiarity with semantic web standards like OWL, RDFS, and SHACL. Experience with relational databases (SQL) and data warehousing concepts. Ability to communicate complex technical concepts to technical and non-technical stakeholders. Experience in an Agile/Scrum environment. Nice To Have
Experience with AWS data services (Glue, Sagemaker) and ETL/ELT methodologies. Understanding healthcare ontologies and standards like SNOMED-CT, LOINC, RxNorm, and ICD-10. Compensation & Benefits
$110,000 - $160,000 a year. Compensation is determined by job level, role requirements, and candidate experience and location. The base pay represents the target for new hires; individual compensation may vary. This figure excludes potential bonuses, equity, or incentives, which may be part of the 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 Health's Careers Page. We may use AI tools to support parts of the hiring process. These tools assist our team but do not replace human judgment. Final hiring decisions are made by humans. If you would like more information about how your data is processed, please contact us.
#J-18808-Ljbffr