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Alignerr

Precision Medicine Data Lead

About this role

About the Role What if your expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine — at a global scale? We're looking for a Precision Medicine Data Lead to help guide how complex healthcare and genomic data is structured, evaluated, and transformed into insights that power cutting-edge AI models. You'll work alongside leading AI research teams, bringing your domain expertise to one of the most consequential intersections of technology and human health. This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences analytics. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare datasets into unified analytics frameworks - Lead analytical strategies that convert complex, integrated datasets into actionable insights for research, clinical decision support, and precision medicine applications - Evaluate AI-generated outputs related to healthcare and genomic data for accuracy, scientific soundness, and clinical relevance - Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence - Communicate findings and recommendations clearly to both scientific and non-technical stakeholders - Apply domain expertise to improve how AI models reason about personalized medicine, biomarker analysis, and clinical data Who You Are - Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles - Strong background in data integration, data governance, and translating complex data into meaningful insights for scientific or clinical audiences - Able to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments - Sharp analytical thinker with a meticulous eye for data quality and scientific accuracy - Self-directed and reliable — comfortable working independently in a remote, asynchronous setting Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training workflows - Familiarity with EHR systems, genomic databases, or clinical trial data structures - Background in bioinformatics, computational biology, or translational research - Experience communicating technical findings to non-specialist audiences Why Join Us - Work on cutting-edge AI projects alongside world-leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Direct influence on how AI models understand and reason about precision medicine and genomics - Exposure to advanced large language models and the science of how they're trained - Potential for ongoing work and contract extension as new projects launch

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