Remote Biotech Health Data Governance Lead for AI Training

Alignerr Corp.; San Antonio (TX); Remote; USD 83,000 - 138,000; Part time

Job summary

Alignerr is seeking a Biotech Health Data Governance Lead to shape how AI interprets biotech data. The role focuses on accurate, auditable, and compliant data across clinical trials and research, enabling advanced AI-driven analytics in a fully remote, hourly contract arrangement.

You will define policies, enforce standards, and collaborate across scientific, IT, compliance, and business teams to safeguard patient information while supporting innovative AI model development.

Qualifications

• Experience leading or implementing data governance programs in biotech, life sciences, or regulated data environments.
• Strong command of privacy, security, and regulatory expectations for research data.
• Ability to collaborate with scientific, IT, compliance, and business teams.

Responsibilities

• Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability for analysis and submissions.
• Define and enforce data policies across research, clinical, regulatory, and partner teams.
• Enable governed data access for analytics and collaborations while protecting patient information.
• Identify data quality gaps and drive improvements for compliance and research integrity.
• Collaborate with cross-functional teams to align data standards and governance frameworks.
• Support AI model development by ensuring datasets meet quality standards.

Skills

Data governance

Biotech data

Regulatory compliance

Cross-functional collaboration

Remote/asynchronous work

Job description

Alignerr is seeking a Biotech Health Data Governance Lead to shape how AI interprets biotech data. The role focuses on accurate, auditable, and compliant data across clinical trials and research, enabling advanced AI-driven analytics in a fully remote, hourly contract arrangement.

You will define policies, enforce standards, and collaborate across scientific, IT, compliance, and business teams to safeguard patient information while supporting innovative AI model development.