Biotech Health Data Governance Lead
About this role
About the Role What if your expertise in biotech data governance could directly shape how AI understands clinical research, regulatory submissions, and scientific discovery? We're looking for a Biotech Health Data Governance Lead to ensure that the research and clinical trial data powering next-generation AI models is accurate, traceable, compliant, and trustworthy. This is a fully remote, flexible contract role for an experienced professional who knows how to navigate the complex intersection of life sciences, data policy, and regulatory compliance. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Lead governance of biotech research and clinical trial data — ensuring accuracy, full data lineage, and auditability for scientific analysis and regulatory submissions - Define, implement, and enforce data policies covering classification, access controls, security standards, and metadata management across research, clinical, regulatory, and partner teams - Enable secure, governed data access for analytics, AI development, and external collaborations — while rigorously protecting confidential and patient-related information - Partner with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks - Identify and close gaps in data quality and compliance posture across the research data lifecycle - Support regulatory readiness by ensuring data assets meet the traceability and documentation requirements of regulatory bodies 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 specific to research and clinical trial data - Skilled at translating complex regulatory and governance requirements into practical, workable policies - A natural collaborator who can align cross-functional teams — scientists, IT professionals, compliance officers, and business partners — around shared data standards - Detail-oriented, systematic, and comfortable operating with a high degree of autonomy in a remote environment Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training data systems - Familiarity with frameworks such as FAIR data principles, 21 CFR Part 11, GDPR, HIPAA, or ICH E6 Good Clinical Practice - Experience working with structured and unstructured clinical or scientific datasets - Background in regulatory affairs, clinical data management, or research informatics Why Join Us - Work at the intersection of life sciences and cutting-edge AI — your governance work directly enables better science and smarter models - Fully remote and flexible — structure your hours around your life, not the other way around - Freelance autonomy with the substance of genuinely impactful, high-stakes work - Collaborate with world-leading AI research teams and life sciences organizations on projects that matter - Potential for ongoing work and contract extension as new projects launch
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