AI-Driven Healthcare Data Expert

2 days ago

Nagpur, Maharashtra, India beBeeHealthcareDataEngineer Full time US$ 1,40,000 - US$ 1,70,000

Transform healthcare data into insights with our team.

About the Role

We're seeking a skilled Healthcare Data Engineer to support AI/ML initiatives through advanced data preparation and management.

  • Clean, rationalize, normalize, and integrate large healthcare datasets (claims, member, provider, clinical data) for AI-driven analytics and automation.
  • Collaborate with data scientists, engineers, and AI teams to deliver high-quality, compliant data pipelines for predictive analytics, risk stratification, fraud detection, and other use cases.
Main 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).
  • Aggregate and consolidate datasets from multiple systems (EHRs, claims, third-party vendors).
  • Execute data extraction workflows to generate AI-ready features.
  • Conduct data quality assurance and validation checks to ensure reliability and accuracy.
  • Implement automation and scripting for efficient data handling.
  • Maintain thorough documentation of data processes, transformations, and metadata.
  • Ensure compliance with HIPAA, data governance, and security standards.
Key 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.
  • Knowledge of cloud-based solutions, APIs, specialized 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 exciting opportunity to work on cutting-edge projects and contribute to the advancement of healthcare technology.

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