A SaaS? workbench that harmonizes claims, EHR, lab, chargemaster, and SDOH data into research-ready datasets for healthcare analytics teams.
Added Jun 7, 2026
Last signal 3w ago
Healthcare, pharma, and biotech teams need to answer client research questions using fragmented real-world data from claims, EMRs, labs, and other regulated sources. The postings point to recurring pain around heterogeneous schemas, inconsistent data quality, and large-scale administrative and clinical data integration.
The product would ingest HL7, FHIR, claims files, EHR extracts, lab feeds, chargemaster data, and SDOH datasets, then normalize them into governed research-ready models. It would provide schema mapping, data quality checks, cohort-building outputs, and reusable pipelines for analytics, RWE, and ML? workflows.
Companies are hiring senior data and analytics leaders specifically to operationalize real-world evidence and complex healthcare data integration. The rise of FHIR adoption, claims-linked clinical datasets, and AI-driven healthcare analytics makes reusable infrastructure more valuable now.
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Showing 1-15 of 15 signals
Build, unify, augment multi-source healthcare datasets into high-quality, Analytics-ready data models that power internal and external products Build and maintain data engineering systems that support a wide range of downstream processes and products
Architect and maintain the supporting infrastructure (pipelines, ingestion workflows, data models, lakes/marts) across EHR/EMR, claims, registries, and genomics-linked cohorts Drive adoption and extension of harmonization frameworks (e.g., OMOP CDM) across heterogeneous data sources, leveraging AI/ML tools for entity resolution, ontology mapping, data quality monitoring, and automated harmonization
Unify and augment multi-source healthcare datasets (e.g., claims, contract rates, demographics) into high-quality, Analytics-ready data models that power internal and external products
Is familiar with using product usage data or analytics to identify customer health risks and expansion opportunities
Leverage medical and pharmacy claims, EMR, lab, chargemaster, SDOH, and other emerging data assets to address your clients research questions
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