Biotech Health Data Governance Lead

Biotech Health Data Governance Lead (AI Training)About The RoleWhat if your expertise in biotech data governance could directly shape how AI understands and works with clinical and research data — accelerating scientific discovery for millions of people worldwide? 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 the next generation of AI-driven life sciences innovation.This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments who want meaningful work on their own terms.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoGovern biotech research and clinical trial data to ensure accuracy, lineage, and auditability for scientific analysis and regulatory submissionsDefine and enforce data policies covering classification, access, security, and metadata across research, clinical, regulatory, and partner teamsEnable secure, governed access to data for analytics, innovation, and external collaborations — while protecting confidential and patient-related informationCollaborate across scientific, IT, compliance, and business teams to align data standards, workflows, and best practicesSupport AI training initiatives by ensuring data used in model development meets rigorous quality and compliance standardsWho You AreExperienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environmentsDeeply knowledgeable in data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial dataA natural collaborator — able to bridge scientific, technical, and business stakeholders around shared data standardsDetail-oriented and systematic, with the ability to manage complex data ecosystems and maintain audit-ready documentationSelf-directed and comfortable working independently in a remote, asynchronous environmentNice to HavePrior experience with data annotation, data quality assurance, or AI evaluation systemsFamiliarity with regulatory submission requirements (FDA, EMA, ICH guidelines)Background in clinical data management, biostatistics, or bioinformaticsExperience working within cross-functional or globally distributed teamsWhy Join UsWork at the intersection of cutting-edge AI and life sciences research alongside leading AI research teamsFully remote and flexible — structure your hours around your life, not the other way aroundFreelance autonomy with the substance of high-impact, mission-driven workContribute to AI and scientific initiatives that have real-world consequences for human healthPotential for ongoing work and contract extension as projects evolve and expand