
Data Engineer for AI-Powered Healthcare Solutions
1 week ago
Seeking a skilled professional to spearhead AI/ML enablement through data engineering in the healthcare sector. This role involves advancing data preparation and management for AI-driven analytics and automation.
">Responsibilities:">- Perform thorough data cleaning, error resolution, inconsistency identification, duplicate removal, and missing value handling.
- Conduct data rationalization and normalization aligning with established healthcare standards (ICD-10, CPT, SNOMED).
- Aggregate and consolidate datasets from multiple systems including EHRs, claims, and third-party vendors.
- Develop and execute data extraction workflows to generate AI-ready features.
- Ensure data quality assurance and validation checks for reliability and accuracy.
- Collaborate with data scientists and AI/ML teams to synchronize data preparation with project objectives.
- Implement efficient automation and scripting for data handling.
- Maintain comprehensive documentation of data processes, transformations, and metadata.
- Comply with HIPAA, data governance, and security regulations.
- Significant experience in healthcare data engineering, particularly in claims, EHR, and clinical datasets.
- Proficiency in data cleaning, normalization, aggregation, and feature extraction techniques.
- Familiarity with healthcare standards and coding systems (ICD-10, CPT, SNOMED, HL7, FHIR).
- Proficiency with SQL, Python, and automation frameworks for data workflows.
- Hands-on experience integrating data from multiple healthcare systems and vendors.
- Knowledge of cloud-based solutions, APIs, payer platforms, and enterprise integration platforms.
- Excellent collaboration skills and ability to partner with AI/ML teams.
- Strong understanding of data governance, HIPAA compliance, and audit documentation.
This is an opportunity to apply your technical expertise to drive business outcomes and make a meaningful impact in the healthcare sector.
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