Biotech Health Data Governance Lead

Biotech Health Data Governance Lead (AI Training) About The Role What if your deep knowledge of biotech and clinical trial data could directly shape how the world's most advanced AI models understand life sciences We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical data used in AI training is accurate, traceable, compliant, and ready to power scientific discovery and regulatory submissions. This is a fully remote, flexible contract role built for experienced life sciences and data governance professionals who want meaningful, high-stakes work on their own terms. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 1040 hours/week What You'll Do Govern 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 control, security, and metadata standards 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 and workflows across complex, cross-functional environmentsSupport the integrity and trustworthiness of data used to train and evaluate cutting-edge AI models in life sciences contexts Who You Are Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environmentsStrong understanding of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial dataA natural collaborator comfortable bridging scientific, technical, compliance, and business teams to align on data standardsDetail-oriented and systematic, with a track record of building governance structures that hold up under scrutinySelf-directed and reliable when working independently in an asynchronous, remote environment Nice 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, GCP, HIPAA, or GDPR in a life sciences contextBackground in clinical data management, biostatistics, or research informaticsExposure to AI/ML data workflows or working with data science teams Why Join Us Work 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 high-impact, meaningful workGain exposure to advanced AI models and the role that trustworthy data plays in better sciencePotential for ongoing work and contract extension as projects scale Biotech Health Data Governance Lead (AI Training) About The Role What if your deep knowledge of biotech and clinical trial data could directly shape how the world's most advanced AI models understand life sciences We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical data used in AI training is accurate, traceable, compliant, and ready to power scientific discovery and regulatory submissions. This is a fully remote, flexible contract role built for experienced life sciences and data governance professionals who want meaningful, high-stakes work on their own terms. Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 1040 hours/week What You'll Do Govern 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 control, security, and metadata standards 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 and workflows across complex, cross-functional environmentsSupport the integrity and trustworthiness of data used to train and evaluate cutting-edge AI models in life sciences contexts Who You Are Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environmentsStrong understanding of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial dataA natural collaborator comfortable bridging scientific, technical, compliance, and business teams to align on data standardsDetail-oriented and systematic, with a track record of building governance structures that hold up under scrutinySelf-directed and reliable when working independently in an asynchronous, remote environment Nice to Have Prior experience with