Precision Medicine Data Lead
About this role
About the Role What if your expertise in genomic and clinical data could directly shape how AI understands human health — and ultimately help power the next generation of personalized medicine? We're looking for a Precision Medicine Data Lead to guide how complex healthcare and genomic datasets are integrated, governed, and transformed into actionable insights. You'll work at the intersection of cutting-edge AI research and real-world clinical impact, collaborating with world-leading research teams to ensure AI models are trained on high-quality, meaningful healthcare data. This is a fully remote, flexible contract role built for experienced data professionals who want to apply their expertise to something that matters. - 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 data into unified analytics platforms - Lead analytical strategies that convert complex, integrated datasets into clear, actionable insights for research and clinical decision support - Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence - Translate highly technical findings into meaningful outputs for diverse stakeholders — from data engineers to clinical leads - Apply domain expertise to support precision medicine initiatives and advanced AI training workflows 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 insights for scientific or clinical audiences - Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or technically demanding environments - Detail-oriented and rigorous — you care about data quality and know what it takes to get it right - Self-directed and able to work independently in a remote, asynchronous setting Nice to Have - Prior experience with data annotation, data quality assurance, or AI evaluation systems - Familiarity with bioinformatics tools or genomic data standards - Background in clinical research, precision oncology, rare disease, or population health - Experience contributing to or reviewing AI/ML training datasets in healthcare contexts Why Join Us - Work directly with leading AI research labs on projects shaping the frontier of healthcare AI - Fully remote and flexible — structure your work around your schedule - Freelance autonomy with the depth and purpose of meaningful, expert-level work - Contribute to AI development that has a real-world impact on how medicine is understood and practiced - Potential for ongoing work and contract extension as new projects launch
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