About this role · Stem
About the Role What if your expertise in biotech data governance could directly shape how AI understands and works with life sciences research — influencing the next generation of drug discovery, clinical trials, and regulatory science? 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 life sciences and clinical data 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 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 access to data for analytics, innovation, and external collaborations — while protecting confidential and patient-related information - Identify data quality gaps and lead initiatives to remediate issues across research and clinical data pipelines - Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks - Support AI model development by ensuring the underlying biotech and clinical datasets meet rigorous quality and compliance standards Who You Are - Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments - Deep understanding of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data (e.g., FDA, ICH, GCP) - Skilled at navigating cross-functional teams — bridging the gap between scientists, IT professionals, compliance officers, and business stakeholders - Detail-oriented and systematic, with a strong instinct for data quality and auditability - Comfortable working independently and asynchronously in a remote, flexible environment Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training data pipelines - Familiarity with clinical data management systems, EDC platforms, or research data repositories - Background in regulatory affairs, clinical operations, or translational research - Exposure to AI or machine learning workflows in a life sciences context Why Join Us - Work at the intersection of cutting-edge AI and life sciences research — a genuinely rare opportunity - Fully remote and flexible — structure your hours around your life, not the other way around - Freelance autonomy with the substance of high-stakes, meaningful work - Contribute directly to AI initiatives that support better science and faster discovery - Potential for ongoing work and contract extension as new projects launch