Biotech Health Data Governance Lead (AI Training)
About The Role
What if your expertise in biotech data governance could directly shape how AI understands and works with clinical research data — influencing discoveries that affect millions of patients 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 cutting-edge AI models and regulatory submissions.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat 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 standards, and metadata management across research, clinical, regulatory, and partner teamsEnable secure, governed data access for analytics, innovation pipelines, and external collaborations — while protecting confidential and patient-related informationEvaluate and improve data quality frameworks used to support AI model training in life sciences contextsCollaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance practicesWho You Are
Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research,



or another regulated data environmentDeeply familiar with data privacy, security, and compliance requirements — including regulatory expectations for clinical trial and research dataSkilled at working across cross-functional teams — from bench scientists to IT architects to compliance officersDetail-oriented and systematic, with a track record of building trustworthy, audit-ready data ecosystemsComfortable working independently in a remote, asynchronous environmentNice 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, ICH E6 GCP, or HIPAABackground in data architecture, metadata management, or master data management in a life sciences contextExperience working with or evaluating AI/ML datasets in research or clinical settingsWhy Join Us
Work at the intersection of life sciences and cutting-edge AI — a rare and genuinely exciting opportunityFully remote and adaptable — structure your work around your life, not the other way aroundFreelance autonomy with meaningful, substantive project work that draws on your deepest expertiseContribute to AI initiatives that support real scientific discovery and better health outcomesCollaborate with world-class AI research teams and life sciences organizationsPotential for ongoing work and contract extension as projects evolve
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📌 Biotech Health Data Governance Lead (Riviere-des-Prairies—Pointe-aux-Trembles)
🏢 Alignerr
📍 Riviere-des-Prairies—Pointe-aux-Trembles