Precision Medicine Data Lead

What You'll Do

• Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and multi-modal healthcare data into unified analytics platforms
• Lead analytical strategies that convert complex, integrated datasets into actionable insights for clinical decision support, research, and precision medicine initiatives
• Evaluate and improve how AI systems reason about genomic and clinical data — identifying gaps, errors, and opportunities to enhance accuracy and clinical relevance
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific integrity
• Clearly communicate findings and data narratives to both technical and non-technical stakeholders
• Apply domain knowledge to assess and annotate AI-generated outputs in healthcare and life sciences contexts

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 insights for scientific or clinical audiences
• Comfortable navigating cross-functional environments — working alongside clinical, research, and engineering teams in regulated or highly technical settings
• Detail-oriented and rigorous in your approach to data quality and scientific accuracy
• Self-motivated and dependable when working independently and asynchronously

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Familiarity with bioinformatics pipelines, EHR systems, or clinical trial data structures
• Background in translational research, computational biology, or health informatics
• Experience communicating complex scientific findings to non-specialist audiences