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About the Role What if your expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine? We're looking for a Precision Medicine Data Lead to guide the integration of complex healthcare datasets into meaningful insights — helping train the next generation of AI models that will influence clinical decision-making and medical research at scale. This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences who want to apply their expertise at the frontier of AI development. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms - Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine research and clinical decision support - 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 - Help shape how AI models reason about healthcare data — contributing to systems that could influence the future of personalized treatment 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 - Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments - Detail-oriented and methodical — you understand that data quality in healthcare isn't just best practice, it's critical - Comfortable working independently and asynchronously in a fully remote setting Nice to Have - Prior experience with data annotation, data quality assessment, or evaluation systems - Familiarity with AI training workflows or large language model development - Background in bioinformatics, translational research, or clinical informatics - Experience with regulatory frameworks relevant to healthcare data (HIPAA, GDPR, etc.) Why Join Us - Work on cutting-edge AI projects alongside the world's leading research labs - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact work - Apply deep domain expertise to problems that sit at the intersection of healthcare and artificial intelligence - Potential for ongoing work and contract extension as new projects launch