About this role · Stem
About the Role What if your expertise in biotech and clinical data could directly shape how AI understands and operates within one of the most regulated, high-stakes industries in the world? 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 experienced professionals who know how to navigate the intersection of life sciences, data compliance, and cutting-edge technology. - 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 standards, and metadata management across research, clinical, regulatory, and partner teams - Enable secure, governed data access for analytics, innovation pipelines, and external collaborations — while rigorously protecting confidential and patient-related information - Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks - Support the development of high-quality, trustworthy data that underpins cutting-edge AI model training in life sciences Who You Are - Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments - Strong command of data privacy, security, compliance frameworks, and regulatory expectations specific to research and clinical trial data - Able to bridge scientific, technical, and business teams — translating complex data standards into practical, enforceable policies - Detail-oriented, systematic, and comfortable operating independently in a remote, asynchronous environment - Confident working across ambiguous, fast-moving projects where data quality and integrity are mission-critical Nice to Have - Prior experience with data annotation, data quality assurance, or AI evaluation systems - Familiarity with regulatory submission requirements (FDA, EMA, ICH guidelines, or similar) - Background in data architecture, master data management, or clinical data management platforms - Experience working with or evaluating AI-generated data outputs in a scientific context Why Join Us - Work on cutting-edge AI and life sciences projects alongside leading research teams - Fully remote and flexible — structure your hours around your life, not the other way around - Freelance autonomy with the substance of meaningful, high-impact work - Contribute to data governance initiatives that directly enable better science and more trustworthy AI - Exposure to how advanced AI models are trained and validated using high-quality scientific data - Potential for ongoing work and contract extension as new projects launch