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 convert complex, integrated datasets into actionable insights for precision medicine research and clinical decision support
• Evaluate and validate AI-generated outputs related to healthcare and genomic data for accuracy, clinical relevance, and scientific soundness
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
• Communicate findings and recommendations clearly to both scientific and non-technical stakeholders
• Apply domain expertise to improve how AI models handle, interpret, and reason over life sciences data

Who You Are

• Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics, research, or data leadership roles
• Strong background in data integration, data governance, and translating complex datasets into meaningful clinical or scientific 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 asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Background in bioinformatics, computational biology, or clinical informatics
• Familiarity with regulatory frameworks governing healthcare data (HIPAA, GDPR, etc.)
• Experience translating genomic research findings for non-specialist audiences