Biotech Health Data Governance Lead

Biotech Health Data Governance Lead (AI Training) About The Role What if your expertise in clinical data and regulatory compliance could directly shape how AI understands and handles some of the most sensitive — and consequential — data in the world? 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 next-generation AI models. This is a fully remote, flexible contract role built for experienced professionals in life sciences, biotech, or regulated research 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 control, security, and metadata management across research, clinical, regulatory, and partner teams • Enable secure, governed access to data assets for analytics, innovation, and external collaborations — while protecting confidential and patient-related information • Identify gaps in existing data governance frameworks and recommend improvements aligned with regulatory expectations • Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and operational workflows 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, and regulatory expectations for research and clinical trial data • Skilled at bridging technical and non-technical teams — you can translate complex data governance requirements into practical workflows • Detail-oriented, systematic, and comfortable working independently in a remote, asynchronous environment • A clear written communicator who can document policies, findings, and recommendations with precision Nice to Have • Prior experience with data annotation, data quality evaluation, or AI training data systems • Familiarity with frameworks such as GDPR, HIPAA, ICH E6, or 21 CFR Part 11 • Background in data stewardship, metadata management, or master data management in life sciences • Exposure to clinical data management systems or regulatory submission workflows Why Join Us • Work on cutting-edge AI and life sciences projects alongside leading research labs • Fully remote and flexible — work when and where it suits you • Freelance autonomy with the structure of meaningful, high-stakes work • Make a direct impact on how AI handles and learns from regulated biotech and clinical data • Potential for ongoing work and contract extension as new projects launch