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 millions of patients worldwide? We're looking for a Precision Medicine Data Lead to guide the integration, governance, and transformation of complex healthcare datasets — helping build the AI systems that will power the next generation of clinical research and precision treatment strategies.This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the cutting edge of AI and biomedicine.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 research, clinical decision support, and precision medicine initiativesCollaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and strategic alignmentTranslate highly technical findings into clear, meaningful outputs for both scientific and non-technical stakeholdersContribute domain expertise to the development and evaluation of AI models trained on healthcare and life sciences 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 data into meaningful insights for scientific or clinical audiencesComfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environmentsDetail-oriented, methodical, and able to maintain rigorous standards across complex, multi-source datasetsSelf-motivated and reliable when working independently and asynchronouslyNice to HavePrior experience with data annotation, data quality evaluation, or AI training workflowsFamiliarity with bioinformatics tools, electronic health records (EHR) systems, or clinical data standards (HL7, FHIR, etc.)Background in translational research, computational biology, or clinical informaticsExperience working with or evaluating large language models (LLMs) in scientific contextsWhy Join UsWork on cutting-edge AI projects alongside leading research labs and AI teamsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, high-impact workContribute directly to AI systems that could reshape how medicine is practiced and personalized at scaleExposure to advanced LLMs and the real-world processes behind how they are trained and evaluatedPotential for ongoing work and contract extension as new projects launch