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 clinical research, regulatory submissions, and life sciences data at scale? 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 the next generation of scientific discovery and AI innovation. This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, 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 covering classification, access controls, security, and metadata across research, clinical, regulatory, and partner teams • Enable secure, governed access to sensitive datasets for analytics, innovation, and external collaborations — while protecting confidential and patient-related information • Identify gaps in data quality and traceability and drive practical, compliant solutions • Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows across the organization Who You Are • Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments • Strong working knowledge of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data • Able to bridge scientific and technical teams — you can translate compliance requirements into practical data workflows • Detail-oriented and systematic — you understand that in regulated environments, data integrity isn't optional • Self-directed and comfortable working asynchronously in a remote environment Nice to Have • Prior experience with data annotation, data quality assurance, or AI training evaluation systems • Familiarity with regulatory submissions (FDA, EMA, ICH guidelines, or similar) • Background in clinical data management, biostatistics, or health informatics • Experience with data governance frameworks such as DAMA-DMBOK or FAIR data principles Why Join Us • Work at the intersection of cutting-edge AI research and life sciences — a rare and high-impact combination • Fully remote and flexible — structure your work around your schedule • Freelance autonomy with the substance of meaningful, domain-specific work • Contribute to AI and research initiatives that advance real scientific discovery • Collaborate with world-class AI research teams and life sciences organizations • Potential for ongoing work and contract extension as new projects launch