Job Description
Data Modeller - Clinical, Healthcare
£Market Rate - Inside IR35
London / Hybrid - 2 days a week on site
6 months
My client is a Global Healthcare Insurer who urgently require a Clinical Data Modeller with proven experience of implementing data models within Healthcare / Clinical / Healthcare Insurance / Healthcare Administration / Hospital / Digital Health environments.
Key Requirements:
* Proven commercial experience working as a Data Modeller within the Healthcare / Clinical Industry with a strong understanding of healthcare interoperability, clinical workflows, and data governance principles.
* Previous experience of implementing clinical standards-based data modelling such as openEHR archetypes/templates, FHIR resource profiling, and clinical terminologies.
* Experience working with clinical data sets and ontologies in real-world health settings where data models (FHIR, OpenEHR, OMOP) are designed for analytical, reporting and operational enablement use-cases.
* Demonstrable experience modelling data presented in FHIR, OpenEHR, DICOM, Claims, SDOH etc. in the data platform for analytics, reporting and supporting operational needs.
* Experience of modelling and mapping data into OMOP format.
* Good understanding of clinical terminologies and ontologies (e.g., SNOMED CT, LOINC, ICD-10/11).
* Experience with data governance principles and data quality management.
* Excellent communication and stakeholder management skills, with the ability to lead data modelling workshops, and liaise with technical and non-technical audiences.
* Experience in implementing solutions using cloud-based data platforms and interoperability frameworks (e.g., Azure, Snowflake, Google Cloud, Mirth Connect and other accelerators).
Nice to have:
* Experience in using programming languages such as SQL, Python, R and working in collaborative development tools.
* Familiarity with AI models.
If interested, with relevant experience, please apply with your latest CV ASAP.
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