Healthcare Data Specialist

4 days ago

Rajahmundry, Andhra Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

We are seeking a skilled Healthcare Data Engineer to support our AI and Machine Learning initiatives.

In this role, you will work on advanced data preparation and management to ensure readiness for AI-driven analytics and automation. This includes designing and developing data solutions to support automated workflows, bots, and AI Agents that span legacy platforms.

You will clean and rationalize large healthcare datasets (claims, member, provider, clinical data) to align with healthcare data standards and structures. Additionally, you will aggregate and consolidate datasets from multiple systems (EHRs, claims, third-party vendors).

The ideal candidate will execute data extraction workflows to generate AI-ready features, conduct data quality assurance and validation checks to ensure reliability and accuracy.

They will also collaborate with Data Scientists and AI/ML teams to align data preparation with project goals, implement automation and scripting for efficient data handling, and maintain thorough documentation of data processes, transformations, and metadata.

Lastly, the successful candidate will ensure compliance with HIPAA, data governance, and security standards.

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
  • Cloud-based solutions expertise (Amazon Web Services, Microsoft Azure's healthcare cloud, Google Cloud Healthcare)
  • API knowledge (scalable infrastructure for data storage, processing, and compliance with healthcare regulations)
  • Specialized payer platforms experience (Apixio, Veracyte, Health Catalyst)
  • Enterprise integration platforms proficiency (Mulesoft, Informatica, Talend)
  • Excellent collaboration skills and ability to partner with AI/ML teams
  • Strong understanding of data governance, HIPAA compliance, and audit documentation

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