Remote Health Data Governance Lead for AI Training

Alignerr Corp.

Cambridge

Remote

GBP 96,000 - 165,000

Part time

21 hours ago
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Job summary

Alignerr is seeking a Hospital Health Data Governance Lead (AI Training) to shape how hospital health data informs AI training. This fully remote hourly contract role leverages your expertise in clinical data, compliance, and governance to ensure data used in AI projects is accurate, trusted, and clinically meaningful.

You will work across clinical, IT, and compliance domains to ensure data readiness and policy alignment, while contributing to ongoing, impactful healthcare AI initiatives with

Qualifications

  • Experience leading healthcare data governance programs.
  • Familiarity with privacy and regulatory frameworks (HIPAA).
  • Ability to document findings and recommendations clearly.

Responsibilities

  • Define and enforce data governance standards for hospital health records.
  • Evaluate and improve quality of healthcare data inputs used in AI model training.
  • Review clinical and operational data workflows to identify governance gaps.
  • Collaborate with clinical, IT, and compliance teams on data policies.
  • Assess data readiness for analytical, regulatory, and AI use cases.
  • Provide expert feedback on data quality and governance maturity.
  • Complete tasks independently on schedule.

Skills

Healthcare data governance
Clinical data management
Regulatory compliance
Data quality
Documentation

Education

Bachelor's degree in health informatics
Healthcare data management certification

Tools

DAMA-DMBOK
HITRUST
HL7/FHIR
SNOMED
ICD-10

Job description

Alignerr is seeking a Hospital Health Data Governance Lead (AI Training) to shape how hospital health data informs AI training. This fully remote hourly contract role leverages your expertise in clinical data, compliance, and governance to ensure data used in AI projects is accurate, trusted, and clinically meaningful.

You will work across clinical, IT, and compliance domains to ensure data readiness and policy alignment, while contributing to ongoing, impactful healthcare AI initiatives with

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