
Healthcare Data Engineer
6 days ago
Role Summary
Accelyst is seeking a Healthcare Data Engineer to support AI/ML initiatives through advanced data preparation and management. This role involves cleaning, rationalizing, normalizing, and integrating large healthcare datasets to ensure readiness for AI-driven analytics and automation.
Key Responsibilities:
- Design, develop, test, and integrate data solutions to support automated workflows, bots, and AI Agents that span legacy platforms.
- Perform data cleaning: identify and resolve errors, inconsistencies, duplicates, and missing values.
- Conduct data rationalization and normalization to align with healthcare data standards and structures (ICD-10, CPT, SNOMED).
Required Skills and Qualifications:
- Strong experience in healthcare data engineering (claims, EHR, clinical datasets).
- Proficiency in data cleaning, normalization, aggregation, and feature extraction.
- Knowledge of healthcare standards and coding systems (ICD-10, CPT, SNOMED, HL7, FHIR).
- Proficiency with SQL, Python, and automation frameworks for data workflows.
Benefits:
- Join a dynamic team that leverages AI-driven technology to make a positive impact.
- Collaborate with data scientists, engineers, and AI teams to deliver high-quality, compliant data pipelines.
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