Biotech Health Data Governance Lead
Biotech Health Data Governance Lead (AI Training)About The RoleWhat 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: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoGovern 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 standards, and metadata management 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 informationCollaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworksSupport the development of high-quality, trustworthy data that underpins cutting-edge AI model training in life sciencesWho You AreExperienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environmentsStrong command of data privacy, security, compliance frameworks, and regulatory expectations specific to research and clinical trial dataAble to bridge scientific, technical, and business teams — translating complex data standards into practical, enforceable policiesDetail-oriented, systematic, and comfortable operating independently in a remote, asynchronous environmentConfident working across ambiguous, fast-moving projects where data quality and integrity are mission-criticalNice to HavePrior experience with data annotation, data quality assurance, or AI evaluation systemsFamiliarity with regulatory submission requirements (FDA, EMA, ICH guidelines, or similar)Background in data architecture, master data management, or clinical data management platformsExperience working with or evaluating AI-generated data outputs in a scientific contextWhy Join UsWork on cutting-edge AI and life sciences projects alongside leading research teamsFully remote and flexible — structure your hours around your life, not the other way aroundFreelance autonomy with the substance of meaningful, high-impact workContribute to data governance initiatives that directly enable better science and more trustworthy AIExposure to how advanced AI models are trained and validated using high-quality scientific dataPotential for ongoing work and contract extension as new projects launch