Precision Medicine Data Lead

Precision Medicine Data Lead (AI Training) About The Role

What if your expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine — at a global scale?

We're looking for a Precision Medicine Data Lead to help guide how complex healthcare and genomic data is structured, evaluated, and transformed into insights that power cutting-edge AI models. You'll work alongside leading AI research teams, bringing your domain expertise to one of the most consequential intersections of technology and human health.

This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences analytics.

• 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 datasets into unified analytics frameworks
• Lead analytical strategies that convert complex, integrated datasets into actionable insights for research, clinical decision support, and precision medicine applications
• Evaluate AI-generated outputs related to healthcare and genomic data for accuracy, scientific soundness, and clinical relevance
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
• Communicate findings and recommendations clearly to both scientific and non-technical stakeholders
• Apply domain expertise to improve how AI models reason about personalized medicine, biomarker analysis, and clinical data

• 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
• Able to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Sharp analytical thinker with a meticulous eye for data quality and scientific accuracy
• Self-directed and reliable — comfortable working independently in a remote, asynchronous setting

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with EHR systems, genomic databases, or clinical trial data structures
• Background in bioinformatics, computational biology, or translational research
• Experience communicating technical findings to non-specialist audiences

• Work on cutting-edge AI projects alongside world-leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Direct influence on how AI models understand and reason about precision medicine and genomics
• Exposure to advanced large language models and the science of how they're trained
• Potential for ongoing work and contract extension as new projects launch