Biotech Health Data Governance Lead

Biotech Health Data Governance Lead (AI & Life Sciences) About The Role What if your expertise in biotech data governance could directly shape how AI understands and accelerates scientific discovery? 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 AI-driven life sciences breakthroughs. This is a fully remote, flexible contract role for an experienced professional who knows how to navigate complex regulated data environments — and who wants their work to matter. • Organization: Alignerr • Type: Hourly Contract • Location: Remote • Commitment: 10–40 hours/week What You'll Do • Govern biotech research and clinical trial datasets to ensure accuracy, lineage, and full auditability for scientific analysis and regulatory submissions • Define and enforce data policies spanning classification, access controls, security, and metadata management across research, clinical, regulatory, and partner teams • Enable secure, governed data access that supports advanced analytics, innovation, and external collaborations — while rigorously protecting confidential and patient-related information • Identify gaps in existing data governance frameworks and implement improvements that align with regulatory expectations and scientific best practices • Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and quality controls Who You Are • Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or regulated data environments • Deeply knowledgeable about data privacy, security, compliance, and regulatory expectations for research and clinical trial data (e.g., FDA, GCP, HIPAA, 21 CFR Part 11) • A skilled collaborator who can bring together scientists, engineers, compliance officers, and business teams around shared data standards • Detail-oriented, systematic, and committed to data quality and integrity • Comfortable working independently in an asynchronous, remote environment Nice to Have • Prior experience with data annotation, data quality evaluation, or AI training data pipelines • Familiarity with data governance frameworks such as DAMA-DMBOK or FAIR data principles • Experience with clinical data management systems or regulatory submission data packages • Background in bioinformatics, health informatics, or a related technical discipline Why Join Us • Work at the intersection of cutting-edge AI and life sciences research — your governance work directly enables better science • Fully remote and flexible — structure your hours around your life, not the other way around • Freelance autonomy with meaningful, high-impact work that goes beyond routine contracting • Exposure to advanced AI models and the data pipelines that make them trustworthy and effective • Collaborate with world-leading AI research teams and life sciences organizations • Potential for ongoing engagement and contract extension as projects grow