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 and improving how life sciences organizations operate at scale?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 breakthroughs, regulatory filings, and advanced AI-driven analytics. This is a fully remote, flexible contract role built for experienced professionals who understand the stakes of data integrity in regulated life sciences environments.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, and metadata across research, clinical, regulatory, and partner teamsEnable secure, governed data access that supports analytics, innovation, and external collaboration — while protecting confidential and patient-related informationAssess and document data quality standards to support AI model training and evaluation workflowsCollaborate with cross-functional stakeholders — scientific, IT, compliance,



and business teams — to align data standards and operational workflowsWho You AreExperienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environmentsDeeply familiar with data privacy, security, compliance, and regulatory expectations for research and clinical trial dataA natural collaborator who can bridge scientific rigor with practical policy implementation across diverse teamsDetail-oriented and systematic — you understand that in life sciences, data quality isn't a nice-to-have, it's a requirementComfortable working independently in a remote, asynchronous environmentNice to HavePrior experience with data annotation, data quality evaluation, or AI training data pipelinesFamiliarity with frameworks such as FAIR data principles, CDISC standards, or GxP compliance requirementsBackground in regulatory affairs, clinical data management, or bioinformaticsExperience working with AI or machine learning teams on data readiness and governanceWhy Join UsWork on cutting-edge AI and life sciences projects alongside leading research organizationsFully remote and versatile — structure your work around your life, not the other way aroundFreelance autonomy with the substance of meaningful, high-impact workContribute directly to the data infrastructure that enables better science and smarter AIExposure to advanced AI models and how high-quality governed data drives better outcomes in research and discoveryPotential for ongoing work and contract extension as new projects launch

📌 Biotech Health Data Governance Lead - Remote (Winnipeg)
🏢 Alignerr
📍 Winnipeg