Hospital Health Data Governance Lead

About the Role

Imagine leveraging your expertise in healthcare data governance to influence how artificial intelligence comprehends, processes, and utilizes clinical and operational health data on a broad scale. We are collaborating with prominent AI research groups to design and train state-of-the-art models and require skilled healthcare data governance experts to guarantee that the data fueling these systems is precise, reliable, compliant, and clinically valid.

This position is a fully remote contract offering considerable flexibility, suitable for professionals with extensive experience in maintaining hospital data quality, privacy, and compliance standards. This opportunity places you at the forefront of a significant technological advancement.

Responsibilities

• Define and assess governance standards for hospital health records, focusing on accuracy, consistency, completeness, and security.
• Review and deliver structured feedback on healthcare data processes, policies, and governance frameworks relevant to AI training.
• Detect and highlight gaps, inconsistencies, and compliance issues within health data structures and related documentation.
• Utilize clinical, regulatory, and operational healthcare knowledge to evaluate data readiness for analytics and AI applications.
• Work asynchronously with multidisciplinary teams, including clinical, technical, and compliance experts.
• Manage task-based assignments independently, on your preferred schedule.

Candidate Profile

• Proven experience in healthcare data governance, clinical data administration, or health information management.
• In-depth understanding of healthcare privacy laws and standards, such as HIPAA and allied compliance requirements.
• Skilled in evaluating data quality and governance mechanisms across clinical, IT, and administrative settings.
• Meticulous and methodical, with the ability to recognize strong health data governance and identify deficiencies.
• Excellent written communication capabilities to effectively document observations and recommendations.
• Self-motivated, comfortable operating independently within a remote and asynchronous work environment.

Preferred Qualifications

• Experience in data labeling, quality assessment, or AI data training processes.
• Background in health informatics, clinical documentation enhancement, or electronic health record (EHR) systems.
• Acquaintance with data stewardship, master data management, or interoperability standards like HL7 or FHIR.
• History of collaborating with diverse healthcare teams, including clinical, compliance, and IT domains.

Why Work With Us

• Engage at the crossroads of healthcare knowledge and innovation in AI technology.
• Enjoy complete remote work flexibility and autonomy to manage your schedule.
• Undertake impactful freelance assignments with meaningful contributions.
• Gain experience with extensive health data systems and cutting-edge AI model training.
• Play a vital role in shaping AI systems that could improve patient care and clinical decision processes.
• Opportunities for project continuation and contract renewal as new initiatives develop.