Remote Biotech Data Governance Lead for AI Research

Alignerr Corp.; Columbus (OH); Remote; USD 83,000 - 165,000; Part time

Job summary

Alignerr Corp. is seeking an experienced Biotech Health Data Governance Lead to shape data accuracy, lineage, and auditability for AI-powered life sciences research.

This fully remote, hourly contract role suits experts in biotech, clinical research, or regulated data who can work independently in a flexible schedule. You will define data policies, enable secure access for analytics, and collaborate across scientific, IT, compliance, and business teams to align standards.

Qualifications

• Experience leading data governance in biotech or regulated data environments.
• Strong knowledge of privacy, security, and regulatory expectations for research data.
• Ability to translate complex data requirements into actionable policies.
• Detail-oriented mindset for regulated contexts.

Responsibilities

• Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability for scientific analysis and regulatory submissions
• Define and enforce data policies covering classification, access, security, and metadata across research, clinical, regulatory, and partner teams
• Enable secure, governed access to data for analytics, innovation, and external collaborations while protecting confidential and patient-related information
• Evaluate and improve data quality standards in ways that directly support AI model development in life sciences contexts
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows across functions

Skills

Data governance leadership

Biotech/regulatory knowledge

Privacy and security familiarity

Policy translation across teams

Remote work autonomy

Job description

Alignerr Corp. is seeking an experienced Biotech Health Data Governance Lead to shape data accuracy, lineage, and auditability for AI-powered life sciences research.

This fully remote, hourly contract role suits experts in biotech, clinical research, or regulated data who can work independently in a flexible schedule. You will define data policies, enable secure access for analytics, and collaborate across scientific, IT, compliance, and business teams to align standards.