Biotech Health Data Governance Lead

Biotech Health Data Governance Lead (AI Training) About The Role What if your deep expertise in biotech data governance could directly shape how AI understands and works with life sciences research? We're looking for a Biotech Health Data Governance Lead to ensure that clinical trial and research 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 in biotech, life sciences, or regulated data environments who want to do meaningful work at the intersection of science and cutting-edge AI. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 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 submissionsDefine and enforce data policies covering classification, access controls, security protocols, and metadata standards across research, clinical, regulatory, and partner teamsEnable secure, governed data access for analytics, innovation pipelines, and external collaborations — while rigorously protecting confidential and patient-related informationIdentify data quality gaps and drive improvements that strengthen compliance and research integrityCollaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworksSupport AI model development by ensuring underlying biotech and clinical datasets meet the highest standards of quality and trustworthiness Who You Are Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or regulated data environmentsStrong command of data privacy, security, compliance, and regulatory expectations specific to research and clinical trial dataComfortable navigating complex, cross-functional environments — bridging scientific, technical, and business teams around shared data standardsDetail-oriented and systematic, with a track record of building governance frameworks that hold up under regulatory scrutinySelf-directed and reliable when working independently in an asynchronous, remote setting Nice to Have Prior experience with data annotation, data quality evaluation, or AI training data pipelinesFamiliarity with regulatory frameworks such as FDA 21 CFR Part 11, GCP, GDPR, or HIPAA as applied to research dataBackground in clinical data management, bioinformatics, or health informaticsExperience working with external research partners or CROs on data governance protocols Why Join Us Work on cutting-edge AI projects alongside leading life sciences research teams and AI research labsFully remote and flexible — structure your work around your scheduleFreelance autonomy with the substance of high-stakes, meaningful workDirectly influence how AI models understand and reason about biotech and clinical research dataExposure to frontier AI development and how high-quality governed data enables better sciencePotential for ongoing work and contract extension as new projects launch