Qualifications
Ideal candidates will possess strong skills in data modeling and transformation strategy, including:Overseeing the governance of our canonical data model to support various clinical domains. Designing and documenting detailed data transformation logic and mappings across healthcare data standards. Analyzing national and international regulatory standards to develop technical specifications for the engineering team. A background in clinical terminology management is also essential:Expertise in standard terminologies and code sets such as SNOMED CT, LOINC, ICD-10, and RxNorm. Defining concept maps and troubleshooting terminology binding issues during data exchange. Collaboration with clinical SMEs to gather requirements and translate clinical intent into technical specifications is critical. You will author functional specifications that enable engineers to build effective interoperability pipelines.
About the job
Join our dedicated team at InterSystems as a Clinical Informatics Data Architect, where you will be instrumental in shaping the architecture and development of our canonical data model and transformation framework. Your expertise will enable us to create a robust data ecosystem that aligns seamlessly with real-world clinical workflows.
In this pivotal role, you will serve as a vital link between clinical experts and technical engineering teams. Your responsibilities will include translating clinical requirements into actionable product specifications, defining intricate data mappings, and validating clinical logic to ensure compliance with global Health IT standards such as FHIR, HL7v2, CDA, and OMOP. You will uphold the highest standards of patient safety and data privacy throughout your work.
About InterSystems
InterSystems is a leader in health informatics, empowering healthcare organizations to deliver better care through innovative data solutions. Our commitment to improving patient outcomes drives our mission to provide cutting-edge technology that seamlessly integrates clinical and operational data.