Precision Medicine Data Lead

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 transform complex, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support
• Evaluate and validate AI-generated outputs in healthcare and genomics contexts — ensuring scientific accuracy, clinical relevance, and data integrity
• Collaborate cross-functionally with clinicians, researchers, and technical teams to align data strategy with research goals
• Ensure data quality, regulatory compliance, and clear communication of findings to both scientific and non-technical stakeholders
• Apply domain expertise to help train, evaluate, and improve AI models operating in precision medicine and healthcare analytics

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 biological or clinical data into meaningful insights
• Comfortable working 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
• Self-motivated and reliable when working independently in an async, remote setting

Nice to Have

• Prior experience with data annotation, data quality assessment, or AI evaluation systems
• Familiarity with bioinformatics tools, EHR systems, or clinical data standards (HL7, FHIR, etc.)
• Background in translational research, clinical trials, or precision oncology
• Experience communicating complex findings to non-technical stakeholders