Precision Medicine Data Lead

What You'll Do

• Design, oversee, and optimize pipelines that integrate genomic sequences, clinical records, biomarkers, and multi-modal healthcare data into unified analytics platforms
• Lead analytical strategies that transform complex, integrated datasets into actionable insights for clinical research and precision medicine initiatives
• Evaluate and validate AI-generated outputs related to healthcare data — identifying errors, gaps, and opportunities for improvement
• Collaborate cross-functionally with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
• Communicate complex findings clearly to both technical and non-technical stakeholders
• Apply your domain expertise to help AI systems better understand and reason over clinical and genomic information

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 biological or clinical data into meaningful insights
• Able to work cross-functionally across clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented, rigorous, and comfortable operating at the intersection of science and technology
• Clear and effective communicator who can bridge the gap between domain science and data systems

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Familiarity with bioinformatics tools, EHR systems, or genomic data standards (e.g., HL7 FHIR, VCF formats)
• Background in clinical research, translational medicine, or precision oncology
• Experience working in or alongside regulated healthcare or life sciences environments