Precision Medicine Data Lead

Precision Medicine Data Lead (AI Training)About The RoleWhat if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine for patients around the world? We're looking for a Precision Medicine Data Lead to bring together complex healthcare datasets, drive analytical strategy, and help train AI systems that are pushing the boundaries of what's possible in clinical research and treatment.This is a fully remote, flexible contract role built for experienced professionals in genomics, life sciences, or healthcare data — people who understand how to make complex data meaningful.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 data into unified analytics platformsLead analytical strategies that convert complex, integrated datasets into actionable insights for precision medicine research and clinical decision supportEvaluate and validate AI-generated outputs related to healthcare and genomic data for accuracy, clinical relevance, and scientific soundnessCollaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherenceCommunicate findings and recommendations clearly to both scientific and non-technical stakeholdersApply domain expertise to improve how AI models handle, interpret, and reason over life sciences dataWho You AreExperienced working with large-scale healthcare, genomic, or life sciences datasets in analytics, research, or data leadership rolesStrong background in data integration, data governance, and translating complex datasets into meaningful clinical or scientific insightsComfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environmentsDetail-oriented and rigorous — you hold data to a high standard and know when something doesn't add upSelf-motivated and reliable when working independently in an asynchronous environmentNice to HavePrior experience with data annotation, data quality evaluation, or AI training workflowsBackground in bioinformatics, computational biology, or clinical informaticsFamiliarity with regulatory frameworks governing healthcare data (HIPAA, GDPR, etc.)Experience translating genomic research findings for non-specialist audiencesWhy Join UsWork on cutting-edge AI projects alongside world-leading research labsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, high-impact workContribute directly to how AI understands and advances precision medicineGain exposure to advanced large language models and how they're trained on complex scientific domainsPotential for ongoing work and contract extension as new projects launch