AI-Driven Biotech Data Governance Lead — Remote

Alignerr Corp.; Sheffield (TX); On-site; USD 83,000 - 152,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Freelance autonomy

Job summary

Alignerr Corp. is seeking a Biotech Health Data Governance Lead (AI Training) to govern biotech research and clinical trial data, ensuring accuracy, lineage, and auditability for analyses, regulatory submissions, and AI workflows.

This fully remote, hourly contract role suits experts navigating life sciences data governance in a flexible work environment. The role requires experience in regulated data settings, strong privacy/compliance know‑how, and the ability to bridge scientific, IT, and

Qualifications

• Experience leading or implementing data governance programs in biotech, life sciences, or regulated data environments.
• Strong knowledge of data privacy, security, and regulatory expectations for research and clinical data.

Responsibilities

• Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability for analysis and submissions.
• Define and enforce data policies covering classification, access controls, security standards, and metadata management across teams.
• Enable secure, governed data access for analytics and collaborations while protecting patient information.
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and governance frameworks.
• Support development of high-quality data underpinning AI model training in life sciences.

Skills

Data governance

Biotech/Life sciences

Regulatory compliance

Remote collaboration

Job description

Alignerr Corp. is seeking a Biotech Health Data Governance Lead (AI Training) to govern biotech research and clinical trial data, ensuring accuracy, lineage, and auditability for analyses, regulatory submissions, and AI workflows.

This fully remote, hourly contract role suits experts navigating life sciences data governance in a flexible work environment. The role requires experience in regulated data settings, strong privacy/compliance know‑how, and the ability to bridge scientific, IT, and