Precision Medicine Data Lead

What You'll Do

• Design, oversee, and optimize 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 and precision medicine research
• Evaluate and validate AI-generated outputs related to healthcare data — identifying gaps, errors, and opportunities for improvement
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
• Communicate findings and recommendations clearly to diverse stakeholders across clinical, research, and engineering functions
• Contribute to data governance frameworks that ensure accuracy, compliance, and reproducibility across large-scale healthcare datasets

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 scientific data into meaningful insights
• Able to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented, methodical, and confident evaluating the quality and reliability of data-driven outputs
• Comfortable working independently and asynchronously in a remote environment

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Familiarity with EHR systems, genomic databases, or clinical trial data platforms
• Background in bioinformatics, translational research, or clinical data science
• Experience contributing to or reviewing AI/ML workflows in healthcare or life sciences contexts