Precision Medicine Data Lead

What You'll Do

• Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms
• Lead analytical strategies that convert complex, multi-source datasets into actionable insights for clinical decision support and precision medicine initiatives
• Evaluate AI-generated outputs related to healthcare and genomic data for accuracy, scientific rigor, and clinical relevance
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
• Translate highly technical findings into clear, structured insights for diverse scientific and clinical stakeholders
• Apply your domain expertise to assess and improve how AI models reason about biological and clinical data

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
• Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented, scientifically rigorous, and confident communicating with both technical and non-technical collaborators
• Self-motivated and reliable — you produce high-quality work independently without close supervision

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with bioinformatics tools, EHR systems, or clinical data standards (HL7, FHIR, etc.)
• Background in translational research, clinical informatics, or population health analytics
• Experience working in regulated healthcare environments (HIPAA, GCP, or similar)