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 discoveries that affect millions of lives? 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 submissions, and advanced AI-driven analytics. This is a fully remote, flexible contract role built for seasoned professionals in life sciences and regulated data environments who want meaningful, high-impact 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 full auditability for scientific analysis and regulatory submissions • Define and enforce data policies covering classification, access controls, security, and metadata across research, clinical, regulatory, and partner teams • Enable secure, governed access to data for analytics, innovation, and external collaborations — while rigorously protecting confidential and patient-related information • Identify gaps in existing data governance frameworks and design practical, scalable solutions • Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and accountability • Support data quality, annotation, and evaluation initiatives that underpin AI model training in life sciences contexts Who You Are • Experienced leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments • Deep understanding of data privacy, security, compliance, and regulatory expectations for research and clinical trial data (e.g., HIPAA, GDPR, FDA 21 CFR Part 11) • Skilled at working across scientific, technical, and business teams — translating complex governance requirements into clear, actionable standards • Systematic and detail-oriented — you build frameworks that hold up under regulatory scrutiny • Self-directed and reliable when working independently in a remote, asynchronous environment Nice to Have • Prior experience with data annotation, data quality programs, or AI training data evaluation • Familiarity with clinical data standards such as CDISC, HL7, or FHIR • Background in regulatory submissions, GCP, or GxP-compliant environments • Experience with data cataloging tools, master data management, or metadata frameworks Why Join Us • Work on cutting-edge AI and life sciences projects alongside leading research labs • Fully remote and flexible — structure your work around your life, not the other way around • Freelance autonomy with the substance of genuinely impactful, domain-expert work • Contribute to AI development that raises the bar for scientific integrity and data trustworthiness • Potential for ongoing work and contract extension as new projects launch