Biotech Health Data Governance Lead

Biotech Health Data Governance Lead (AI Training) About The Role What if your deep expertise in biotech data governance could directly shape how AI understands and works with clinical and research data at a global scale? 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 AI-driven analytics. This is a fully remote, flexible contract role built for experienced professionals in life sciences and regulated data environments who want to do meaningful work on their own terms. 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 standards, and metadata management across research, clinical, regulatory, and partner teams Enable secure, governed data access for analytics, innovation pipelines, and external collaborations — while protecting confidential and patient-related information Identify gaps in existing data workflows and recommend practical, scalable governance improvements Collaborate across scientific, IT, compliance, and business stakeholders to align data standards and ensure consistent application of governance frameworks Who You Are Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments Strong working knowledge of data privacy, security, compliance, and regulatory expectations for research and clinical trial data (e.g., GDPR, HIPAA, FDA 21 CFR Part 11) Comfortable navigating cross-functional teams — bridging the gap between scientists, engineers, compliance officers, and business stakeholders Detail-oriented and systematic, with a track record of building governance frameworks that hold up under regulatory scrutiny Self-directed and capable of delivering high-quality work independently in a remote, asynchronous environment Nice to Have Prior experience with data annotation, data quality assurance, or evaluation systems Familiarity with AI model training workflows and how high-quality structured data enables better model performance Exposure to clinical data management systems (CDMS), electronic data capture (EDC), or LIMS platforms Background in bioinformatics, regulatory affairs, or translational research Why Join Us Work at the intersection of cutting-edge AI research and life sciences — a rare and genuinely exciting opportunity Fully remote and flexible — structure your work around your life, not the other way around Freelance autonomy with the substance of meaningful, high-impact work Contribute directly to AI initiatives that improve how science is done and how clinical data is trusted Potential for ongoing engagement and contract extension as projects evolve #J-18808-Ljbffr Alignerr