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 systems understand and work with some of the most complex, high-stakes data in the world? 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 audit-ready. This is a fully remote, flexible contract role for an experienced professional who understands what it takes to govern data in regulated life sciences environments — and wants to apply that expertise at the frontier of AI. • 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 across scientific analysis and regulatory submissions • Define and enforce data policies covering classification, access controls, security protocols, and metadata standards across research, clinical, regulatory, and partner teams • Enable secure, governed data access for analytics, innovation, and external collaborations — while protecting confidential and patient-related information • Identify gaps in data quality and compliance, and implement practical, scalable solutions • Collaborate with scientific, IT, compliance, and business stakeholders to align data governance standards and workflows • Support the integrity and trustworthiness of data used to train and evaluate cutting-edge AI models Who You Are • Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments • Deeply familiar with data privacy, security, and compliance requirements — including regulatory expectations for clinical trial and research data • A natural collaborator who can bridge scientific, technical, and compliance teams around shared data standards • Detail-oriented and systematic — you care about getting data governance right at every layer • Comfortable working independently in a remote, asynchronous environment Nice to Have • Prior experience with data annotation, data quality frameworks, or AI evaluation systems • Familiarity with regulatory submission requirements (e.g., FDA, EMA) for clinical data • Background in metadata management, data cataloging, or master data management tools • Experience working across cross-functional or globally distributed teams Why Join Us • Work on cutting-edge AI projects alongside leading life sciences research teams and AI labs • Fully remote and flexible — structure your work around your schedule • Freelance autonomy with the substance of genuinely meaningful, high-impact work • Contribute to AI development that advances scientific discovery and improves how research data powers better medicine • Potential for ongoing work and contract extension as new projects launch