Biotech Health Data Governance Lead

Biotech Health Data Governance Lead (AI Training)

About the Role

What if your expertise in biotech data governance could directly shape how AI understands and operates within one of the world's most consequential industries? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data is accurate, traceable, compliant, and ready to power scientific discovery, regulatory filings, and advanced AI-driven analytics.

This is a fully remote, flexible contract role built for experienced professionals who know what it takes to govern sensitive data in regulated life sciences environments.

• Organization
  : Alignerr
• Type
  : Hourly Contract
• Location
  : Remote
• Commitment
  : 10-40 hours/week

What You'll Do

• Govern biotech research and clinical trial data to ensure accuracy, lineage, and full auditability for scientific analysis and regulatory submissions
• Define and enforce data policies covering classification, access controls, security, and metadata standards across research, clinical, regulatory, and partner teams
• Enable secure, governed data access for analytics, innovation, and external collaborations - while rigorously protecting confidential and patient-related information
• Identify gaps in existing data governance frameworks and lead initiatives to close them
• Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards and workflows

Who You Are

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
• Deep understanding of data privacy, security, compliance, and regulatory expectations as they apply to research and clinical trial data
• Skilled at working across scientific, IT, compliance, and business teams to drive alignment on data standards and processes
• Detail-oriented, systematic, and comfortable operating in complex, high-stakes data environments
• Self-directed and reliable when working independently in a remote, asynchronous setting

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training data systems
• Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6 GCP, or GDPR as applied to clinical and research data
• Background in bioinformatics, clinical data management, or research informatics
• Experience working with or evaluating AI-generated outputs in a scientific or regulated context

Why Join Us

• Work at the intersection of life sciences and cutting-edge AI with leading research organizations
• Fully remote and flexible - structure your work around your life, not the other way around
• Freelance autonomy with the substance of meaningful, high-impact work
• Direct contribution to AI initiatives that are advancing how science is conducted and how discoveries are made
• Potential for ongoing work and contract extension as new projects launch