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 the most sensitive, high-stakes data in science? We're looking for a Biotech Health Data Governance Lead to ensure that clinical trial and research data is accurate, traceable, compliant, and ready to power scientific discovery, regulatory submissions, and advanced AI-driven analytics. This is a fully remote, flexible contract role built for experienced professionals in life sciences, clinical research, or regulated data environments. If you know how to bring order, trust, and rigour to complex research data — we want to hear from you. • 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 data assets for analytics, innovation, and external collaboration — while protecting confidential and patient-related information • Identify data quality gaps and implement standards that support both scientific integrity and regulatory readiness • Work cross-functionally with scientific, IT, compliance, and business stakeholders to align data workflows and governance frameworks Who You Are • Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or similarly regulated data environments • Deeply familiar with data privacy, security, compliance obligations, and regulatory expectations for research and clinical trial data • Skilled at translating complex governance requirements into practical policies and workflows that real teams can follow • A natural collaborator who can bridge the gap between scientific, technical, and compliance perspectives • Detail-oriented and systematic — you understand that in regulated environments, the quality of the data is the quality of the science Nice to Have • Prior experience with data annotation, data quality evaluation, or AI training data pipelines • Familiarity with frameworks such as FAIR data principles, CDISC, or ICH E6 GCP guidelines • Experience working with EHR systems, LIMS platforms, or clinical data management tools • Background in regulatory affairs, clinical operations, or biomedical informatics Why Join Us • Lead governance initiatives that sit at the intersection of life sciences and cutting-edge AI research • Fully remote and flexible — structure your work around your life, not the other way around • Freelance autonomy with the substance of genuinely meaningful, high-impact work • Exposure to advanced AI models and the role that trustworthy, high-quality data plays in enabling better science • Collaborate with world-class AI research teams and life sciences organizations on a global scale • Potential for ongoing work and contract extension as projects evolve