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 — influencing personalized treatments for millions of patients worldwide? We're looking for a Precision Medicine Data Lead to guide how complex healthcare datasets are integrated, governed, and transformed into the insights that power next-generation AI models in clinical research and personalized medicine. This is a fully remote, flexible contract role built for experienced data professionals who know their way around large-scale life sciences and healthcare environments. - 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 healthcare data into unified analytics platforms - Lead analytical strategies that convert complex, integrated datasets into actionable insights for clinical decision support and precision medicine initiatives - Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and alignment between data strategy and research goals - Communicate findings and recommendations clearly to both scientific and non-technical stakeholders - Contribute to the development of cutting-edge AI models by providing domain expertise in healthcare and life sciences 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 and data governance — you know how to bring messy, complex data into reliable, usable form - Skilled at translating complex data into meaningful insights for scientific and clinical audiences - Comfortable operating cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments - Naturally detail-oriented with a systematic approach to data quality and accuracy Nice to Have - Prior experience with data annotation, data quality evaluation, or AI training workflows - Familiarity with bioinformatics tools, EHR systems, or clinical data standards (HL7, FHIR, etc.) - Background in translational research, clinical informatics, or computational biology - Experience working in regulated healthcare or life sciences environments 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 exposure to advanced large language models and how they are trained on scientific and clinical domains - Contribute to AI development that could meaningfully advance personalized medicine worldwide - Potential for ongoing work and contract extension as new projects launch
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