Precision Medicine Data Lead
Precision Medicine Data Lead (AI Training)About The RoleWhat if your expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine for millions of patients worldwide? We're looking for a Precision Medicine Data Lead to help guide the integration, governance, and transformation of complex healthcare and genomic datasets — powering the next generation of AI models built for clinical research and precision health.This is a fully remote, flexible contract role designed for experienced data professionals with a background in life sciences, genomics, or healthcare analytics. Your domain expertise will directly influence how cutting-edge AI systems reason about biomedical data.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoDesign, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare datasets into unified analytics platformsLead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine, clinical decision support, and advanced research initiativesCollaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and governance best practicesTranslate highly technical findings into clear, meaningful outputs for diverse stakeholder audiencesApply your domain expertise to evaluate and improve AI-generated outputs related to healthcare and genomics dataWho You AreExperienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership rolesStrong background in data integration, data governance, and translating complex datasets into meaningful insights for scientific or clinical audiencesSkilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environmentsDetail-oriented, methodical, and comfortable operating independently in an asynchronous, remote settingNice to HavePrior experience with data annotation, data quality evaluation, or AI training workflowsFamiliarity with regulatory frameworks in healthcare data (e.g., HIPAA, GDPR, FDA guidelines)Background in bioinformatics, translational research, or clinical informaticsExperience communicating complex scientific findings to non-technical stakeholdersWhy Join UsWork on cutting-edge AI projects alongside the world's leading AI research labsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, high-impact workContribute to AI development that could transform how precision medicine is practiced at scalePotential for ongoing work and contract extension as new projects launch