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 build and guide the data foundations that power next-generation AI models in healthcare. You'll bring together complex genomic, clinical, and biomarker datasets and transform them into structured, high-quality insights that teach AI how to reason about precision medicine. This is a fully remote, flexible contract role built for senior professionals who want meaningful, high-impact work without the constraints of a traditional full-time role. - 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 datasets into unified analytics platforms - Lead analytical strategies that convert complex, multi-source datasets into actionable insights for research, clinical decision support, and precision medicine applications - Evaluate and improve how AI models handle healthcare and genomic data — ensuring outputs are accurate, clinically meaningful, and scientifically sound - Collaborate with clinicians, researchers, and technical teams to ensure data quality, governance, and regulatory alignment - Translate complex data findings into clear, structured outputs for scientific and clinical stakeholders - Apply your domain expertise to identify gaps, inconsistencies, and opportunities in AI-generated healthcare content Who You Are - Experienced with large-scale healthcare, genomic, or life sciences datasets in analytics, research, or data leadership roles - Strong foundation in data integration, data governance, and translating complex data into meaningful insights for scientific or clinical audiences - Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments - Detail-oriented with a systematic approach to evaluating data quality and analytical outputs - Self-directed and reliable — you can manage your own work and deliver consistently without close supervision Nice to Have - Prior experience with data annotation, data quality assessment, or AI evaluation systems - Background in bioinformatics, computational biology, or clinical informatics - Familiarity with EHR systems, genomic databases, or precision medicine platforms - Experience in regulated environments such as clinical research, pharma, or health tech Why Join Us - Work on cutting-edge AI projects alongside world-leading research labs and AI teams - Fully remote and flexible — structure your hours around your life, not the other way around - Freelance autonomy with the substance of genuinely important, high-stakes work - Direct impact on how AI models understand and reason about precision medicine and genomics - Exposure to advanced large language models and how they're trained on scientific and clinical data - Potential for ongoing work and contract extension as new projects launch
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