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 — improving the science that drives real medical breakthroughs? 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 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 auditability for scientific analysis and regulatory submissions • Define and enforce data policies for 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 • Collaborate across scientific, IT, compliance, and business teams to align data standards, workflows, and governance frameworks • Support data readiness for AI model training and evaluation in life sciences contexts Who You Are • Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or similarly regulated data environments • Strong understanding of data privacy, security, compliance, and regulatory expectations for research and clinical trial data • Skilled at bridging the gap between scientific, technical, and compliance teams — translating complex requirements into clear, actionable standards • Naturally detail-oriented with a structured, methodical approach to data quality and policy enforcement • Self-motivated and effective working independently in a remote, asynchronous environment Nice to Have • Prior experience with data annotation, data quality assurance, or AI evaluation systems • Familiarity with regulatory frameworks such as FDA, GxP, HIPAA, or ICH guidelines • Background in clinical data management, biomedical informatics, or health data architecture • Experience working with external research partners or cross-functional global teams Why Join Us • Work on cutting-edge AI projects alongside leading research labs and life sciences organizations • Fully remote and flexible — work when and where it suits you • Freelance autonomy with the structure of meaningful, high-stakes work • Gain direct exposure to how high-quality governed data enables better AI and better science • Contribute to initiatives that sit at the intersection of life sciences and next-generation AI • Potential for ongoing work and contract extension as new projects launch