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 handles clinical and research data at a global scale? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data powering next-generation AI models is accurate, traceable, compliant, and ready to support scientific discovery and regulatory excellence.

This is a fully remote, flexible contract role built for experienced professionals in life sciences, clinical research, or regulated data environments who want to do meaningful work on their own terms.

• 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 auditability for scientific analysis and regulatory submissions
• Define and enforce data policies for 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
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
• Support the development of high-quality, trustworthy data pipelines that underpin cutting-edge AI model training in the life sciences space

Who You Are

• Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments
• Deeply knowledgeable about data privacy, security, compliance, and regulatory expectations for research and clinical trial data
• A skilled cross-functional collaborator — comfortable working across scientific, IT, compliance, and business teams
• Detail-oriented, systematic, and committed to maintaining the highest standards of data integrity and auditability
• Self-motivated and effective when working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality assessment, or AI evaluation systems
• Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, GDPR, HIPAA, or GCP guidelines
• Background in data architecture, metadata management, or clinical data management systems (CDMS/EDC)
• Experience supporting regulatory submissions or working alongside clinical operations teams

Why Join Us

• Work at the intersection of life sciences and cutting-edge AI — contributing to research that matters
• Fully remote and flexible — structure your work around your life, not the other way around
• Freelance autonomy with the substance of high-impact, mission-driven projects
• Gain exposure to advanced AI models and how rigorous data governance enables better science
• Collaborate with world-leading AI research teams and life sciences organizations
• Potential for ongoing work and contract extension as new projects launch