Clinical data intelligence platform powered by AI and medical terminology
IMO Health structures and operationalizes clinical data using AI and proprietary medical terminology expertise. The tech stack—Python, Java, PostgreSQL, Apache Spark, AWS/Azure, and emerging LLM integrations—reflects an engineering-heavy org scaling inference pipelines and production ML systems. Active projects center on moving AI prototypes into production and virtualizing vast medical terminology datasets, while pain points cluster around model drift, technical debt, and the prototype-to-production transition, suggesting infrastructure maturation is the current bottleneck.
IMO Health is a clinical data intelligence company serving healthcare providers, health tech vendors, payers, and drug discovery teams. Founded in 1994 and headquartered in Rosemont, IL, the company has built a proprietary layer that captures and encodes patient encounters using controlled medical terminology (ICD-10, SNOMED) and AI-driven analysis. The product suite spans clinical data structuring, interoperability mapping, population health analytics, and now AI-powered applications including LLM integration and meta-analysis tools. The engineering team is actively hiring across ML/infrastructure, data, and sales roles.
Core stack includes Python, Java, PostgreSQL, Apache Spark, AWS/Azure, Docker, Kubernetes, and GraphQL. Recent additions: LLM integrations, SPARQL/SHACL for semantic reasoning, Terraform for infrastructure, and Jenkins/Octopus for CI/CD pipeline automation.
51 active roles across the company. Engineering represents the largest department (24 openings) with a split between senior, mid, and staff-level positions, plus 4 director-level roles and a few junior/intern slots. Hiring is US-based and ongoing.
Primary projects: scaling AI models to production, building inference pipelines for clinical AI, deploying LLMs into clinical products, CI/CD optimization for ML, and virtualizing complex medical terminology at scale. Also developing terminology search platforms and AI-driven meta-analysis tools.
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