Precision Medicine Data Lead

About the Role

What if your expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine for millions of patients worldwide? We're looking for a Precision Medicine Data Lead to help guide how complex healthcare and genomic datasets are structured, governed, and transformed into insights that power the next generation of AI-driven clinical research.

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 convert complex, integrated datasets into actionable insights for research, clinical decision support, and precision medicine initiatives
• Evaluate and improve how AI models interpret and reason about healthcare and genomic data
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
• Communicate findings and data strategies clearly to both technical and non-technical stakeholders
• Apply domain expertise to assess AI-generated outputs for accuracy, clinical relevance, and scientific soundness

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
• Able to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented and rigorous — you hold data to a high standard and know when something doesn't add up
• Comfortable working independently and asynchronously in a remote environment

Nice to Have

• Prior experience with data annotation, data quality assessment, or evaluation systems
• Familiarity with AI or machine learning workflows applied to healthcare or life sciences
• Background in bioinformatics, clinical informatics, or translational research
• Experience with EHR systems, genomic databases, or biobank data platforms