Data Architect for AI-Powered Healthcare Solutions

1 day ago

Bareilly, Uttar Pradesh, India beBeeHealthcare Full time ₹ 14,09,613 - ₹ 21,64,841

Job Title: Healthcare Data Engineer - AI/ML Enablement

Job Description:

Accelyst is an innovative AI consultancy that leverages a unique catalog of industry-specific agents and leading-edge AI platforms to deliver tangible, integrated, secure, and ROI-optimized solutions. We combine deep industry and technical expertise to enable rapid deployment of innovative AI-driven capabilities to augment and automate client workflows for employees, customers, prospects, and investors.

Our team is dynamic and focused on leveraging AI-driven technology to make a positive impact. Our leadership fosters a nimble, client-focused environment that minimizes bureaucracy to enhance delivery and professional growth.

Role Overview:

We are 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 (claims, member, provider, clinical data) to ensure readiness for AI-driven analytics and automation.

In this role, you will be responsible for designing, developing, testing, and integrating data solutions to support automated workflows, bots, and AI agents that span legacy platforms, such as:

  • Claims processing systems
  • Member management platforms
  • Provider network management systems
  • Care management platforms
Responsibilities:
  1. Perform data cleaning: identify and resolve errors, inconsistencies, duplicates, and missing values.
  2. Conduct data rationalization and normalization to align with healthcare data standards and structures (ICD-10, CPT, SNOMED).
  3. Aggregate and consolidate datasets from multiple systems (EHRs, claims, third-party vendors).
  4. Execute data extraction workflows to generate AI-ready features.
  5. Conduct data quality assurance and validation checks to ensure reliability and accuracy.
  6. Collaborate with data scientists and AI/ML teams to align data preparation with project goals.
  7. Implement automation and scripting for efficient data handling.
  8. Maintain thorough documentation of data processes, transformations, and metadata.
  9. Ensure compliance with HIPAA, data governance, and security standards.
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, and specialized payer platforms.
  • 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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