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 works with clinical and research data — influencing the next generation of life sciences AI models? 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 advanced analytics. This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments. • 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, security, and metadata across research, clinical, regulatory, and partner teams • Enable secure, governed access to data for analytics, innovation, and external collaborations while protecting confidential and patient-related information • Evaluate and improve data quality standards to support AI training workflows and downstream research use cases • Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows across the organization Who You Are • Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments • Strong understanding of data privacy, security, compliance, and regulatory expectations for research and clinical trial data • Able to work cross-functionally — bridging the gap between scientific, technical, and compliance teams • Detail-oriented with a systematic approach to data quality, lineage, and auditability • Self-motivated and reliable when working independently in a remote, asynchronous environment Nice to Have • Prior experience with data annotation, data quality evaluation, or AI training datasets • Familiarity with regulatory frameworks such as HIPAA, GCP, FDA 21 CFR Part 11, or ICH guidelines • Background in clinical data management, bioinformatics, or health informatics • Experience with data governance platforms or metadata management tools Why Join Us • Work at the intersection of cutting-edge AI and life sciences research alongside leading research labs • Fully remote and flexible — work when and where it suits you • Freelance autonomy with the structure of meaningful, high-impact work • Contribute to AI development that directly supports better science and more trustworthy research data • Potential for ongoing work and contract extension as new projects launch