About this role · Stem
About the Role What if your expertise in data governance could directly shape how the world's most advanced AI systems understand biotech and clinical research? We're looking for a Biotech Health Data Governance Lead to ensure that the data powering scientific discovery, regulatory submissions, and life sciences AI is accurate, traceable, secure, and compliant. This is a fully remote, flexible contract role built for experienced professionals who understand the high stakes of governed data in regulated research environments. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Govern biotech research and clinical trial datasets to ensure accuracy, lineage, and full auditability for scientific analysis and regulatory submissions - Define, document, 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 sensitive datasets for analytics, innovation, and external collaborations — while protecting confidential and patient-related information - Identify and resolve data quality issues that could compromise research integrity or compliance posture - Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks - Support data annotation, evaluation, and quality processes that feed into AI training pipelines Who You Are - Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments - Deeply knowledgeable about data privacy, security, compliance, and regulatory expectations for research and clinical trial data (e.g., HIPAA, GxP, 21 CFR Part 11) - A skilled cross-functional collaborator — equally comfortable working with scientists, IT architects, compliance officers, and business leads - Detail-oriented and systematic — you understand that in regulated research, the integrity of the data is the integrity of the science - Self-directed and capable of owning governance initiatives from design through implementation Nice to Have - Prior experience with data annotation, data quality frameworks, or AI training data evaluation - Familiarity with clinical data standards such as CDISC, HL7, or FHIR - Background working with biobanks, genomics data, or electronic data capture (EDC) systems - Experience supporting regulatory submissions (FDA, EMA) with data governance artifacts Why Join Us - Work at the intersection of life sciences and cutting-edge AI — your governance work directly enables better science and smarter AI - Fully remote and flexible — structure your hours around your life, not the other way around - Freelance autonomy with meaningful, high-impact project work - Collaborate with world-leading AI research teams and life sciences organizations - Potential for contract extension as projects grow and evolve