Precision Medicine Data Lead

About The Role

What if your expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine for millions of patients worldwide? We're looking for a Precision Medicine Data Lead to help guide the integration, governance, and transformation of complex healthcare and genomic datasets — powering the next generation of AI models built for clinical research and precision health.

Organization

Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

What You'll Do

• Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare datasets into unified analytics platforms
• Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine, clinical decision support, and advanced research initiatives
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and governance best practices
• Translate highly technical findings into clear, meaningful outputs for diverse stakeholder audiences
• Apply your domain expertise to evaluate and improve AI-generated outputs related to healthcare and genomics 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 datasets into meaningful insights for scientific or clinical audiences
• Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented, methodical, and comfortable operating independently in an asynchronous, remote setting

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with regulatory frameworks in healthcare data (e.g., HIPAA, GDPR, FDA guidelines)
• Background in bioinformatics, translational research, or clinical informatics
• Experience communicating complex scientific findings to non-technical stakeholders