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 bring deep domain knowledge to cutting-edge AI training projects. You'll work at the intersection of healthcare data, advanced analytics, and AI development — guiding how complex biological and clinical datasets are structured, evaluated, and transformed into meaningful insights. This is a fully remote, flexible contract role built for experienced professionals in genomics, life sciences, or clinical data. No prior AI background needed — your scientific and data expertise is what matters. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Design, evaluate, and optimize approaches for integrating genomic, clinical, and biomarker data into unified analytics frameworks - Lead analytical strategies that convert complex, multi-source datasets into actionable insights for AI training and precision medicine applications - Assess the quality, accuracy, and scientific validity of AI-generated outputs across healthcare and life sciences domains - Collaborate with clinical researchers, data scientists, and engineering teams to align data strategy with project goals - Communicate findings clearly across scientific and non-scientific stakeholders - Apply your expertise in data governance and regulatory standards to ensure integrity across datasets - Work independently and asynchronously — fully on your own schedule 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 datasets into meaningful scientific or clinical insights - Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments - Detail-oriented and systematic — you hold your work to rigorous scientific standards - Self-motivated and reliable when working independently without close supervision Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training workflows - Background in bioinformatics, translational research, or clinical decision support systems - Familiarity with precision medicine frameworks, EHR systems, or multi-omics data platforms - Experience communicating complex data findings to clinical or executive audiences Why Join Us - Work on cutting-edge AI projects alongside leading research labs and AI teams - Fully remote and flexible — work when and where it suits you - Freelance autonomy with the structure of meaningful, high-impact project work - Apply your scientific expertise to AI development that could shape the future of healthcare - Potential for ongoing work and contract extension as new projects launch
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