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 influence how AI understands and advances life sciences research?
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 filings, and next-generation AI models.
This is a fully remote, flexible contract role built for experienced professionals in biotech, life sciences, or regulated data environments.
If you know how to bring order, integrity, and rigor to complex research data - this is your opportunity to do it at the frontier of AI.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: ***** 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 for 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 with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworksIdentify gaps in data quality, traceability, and compliance - and drive measurable improvementsSupport the development of high-quality, trustworthy datasets that underpin cutting-edge AI model training in life sciencesWho You AreExperienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environmentsDeeply knowledgeable about data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial dataSkilled at bridging scientific, technical, and business teams to build shared data standards and practicesDetail-oriented and systematic - you bring structure and rigor to complex, multi-stakeholder data environmentsComfortable working independently and managing your own priorities in a remote, asynchronous settingNice to HavePrior experience with data annotation, data quality assurance, or AI evaluation systemsFamiliarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6, HIPAA, or GDPR as applied to clinical and research dataBackground working with clinical data management systems, LIMS, or biotech data platformsExperience supporting regulatory submissions or data audits in a life sciences contextWhy Join UsWork at the intersection of life sciences and cutting-edge AI with leading research organizationsFully remote and flexible - work when and where it suits youFreelance autonomy with the structure and purpose of meaningful, high-impact workDirect exposure to how high-quality, governed data enables better science and smarter AIPotential for ongoing work and contract extension as new projects launch#J-*****-Ljbffr