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
• 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