Precision Medicine Data Lead

Precision Medicine Data Lead

What if your expertise in genomic and clinical data could directly shape how AI understands human health — and ultimately help power the next generation of personalized medicine?

We're looking for a Precision Medicine Data Lead to guide how complex healthcare and genomic datasets are integrated, governed, and transformed into actionable insights. You'll work at the intersection of cutting-edge AI research and real-world clinical impact, collaborating with world-leading research teams to ensure AI models are trained on high-quality, meaningful healthcare data.

This is a fully remote, flexible contract role built for experienced data professionals who want to apply their expertise to something that matters.

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

• 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, integrated datasets into clear, actionable insights for research and clinical decision support
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
• Translate highly technical findings into meaningful outputs for diverse stakeholders — from data engineers to clinical leads
• Apply domain expertise to support precision medicine initiatives and advanced AI training workflows

• 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 insights for scientific or clinical audiences
• Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or technically demanding environments
• Detail-oriented and rigorous — you care about data quality and know what it takes to get it right
• Self-directed and able to work independently in a remote, asynchronous setting

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Familiarity with bioinformatics tools or genomic data standards
• Background in clinical research, precision oncology, rare disease, or population health
• Experience contributing to or reviewing AI/ML training datasets in healthcare contexts

• Work directly with leading AI research labs on projects shaping the frontier of healthcare AI
• Fully remote and flexible — structure your work around your schedule
• Freelance autonomy with the depth and purpose of meaningful, expert-level work
• Contribute to AI development that has a real-world impact on how medicine is understood and practiced
• Potential for ongoing work and contract extension as new projects launch