
Lead Data Professional for AI/ML Initiatives
1 day ago
We are seeking a skilled data professional to support the development of advanced data solutions for healthcare. This role involves designing, developing, testing, and integrating large datasets to ensure readiness for AI-driven analytics and automation.
The successful candidate will collaborate with cross-functional teams to deliver high-quality, compliant data pipelines for predictive analytics, risk stratification, fraud detection, and other use cases.
Key Responsibilities:
- Design and develop robust data solutions to support automated workflows, bots, and AI Agents that span legacy platforms.
- Clean and rationalize large healthcare datasets to ensure accuracy and consistency.
- Conduct data normalization and aggregation to align with healthcare data standards and structures (ICD-10, CPT, SNOMED).
- Collaborate with data scientists and AI/ML teams to align data preparation with project goals.
- Maintain thorough documentation of data processes, transformations, and metadata.
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.
- Hands-on experience integrating data from multiple healthcare systems and vendors.
About Our Company:
A well-established innovative company leveraging unique industry-specific agents and leading-edge AI platforms to deliver tangible, integrated, secure, and ROI-optimized solutions. Our leadership fosters a client-focused environment, minimizing bureaucracy to enhance delivery and professional growth.
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