Back to jobs

Precision Medicine Data Lead

$40-80/hrRemoteFreelanceSTEM

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? We're looking for a Precision Medicine Data Lead to guide how complex healthcare datasets are integrated, governed, and transformed into insights that power the next generation of AI-driven clinical research.

This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences analytics who want to work at the cutting edge of AI and precision medicine.

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

What You'll Do

  • Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and healthcare data into unified analytics platforms
  • Lead analytical strategies that convert complex, integrated datasets into actionable insights for research, clinical decision support, and precision medicine initiatives
  • Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and strategic alignment
  • Communicate findings and data strategies clearly to both scientific and non-technical stakeholders
  • Apply your domain expertise to help AI systems better understand and reason about healthcare and genomic 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 data into meaningful insights for clinical or scientific audiences
  • Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
  • Detail-oriented, methodical, and confident making high-stakes data decisions
  • Self-motivated and reliable when working independently in a remote setting

Nice to Have

  • Prior experience with data annotation, data quality, or evaluation systems
  • Familiarity with AI or machine learning workflows applied to healthcare or life sciences
  • Background in bioinformatics, clinical informatics, or translational research
  • Experience with cloud-based analytics platforms or EHR data systems

Why Join Us

  • Work on cutting-edge AI projects alongside leading research labs and AI teams
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high-impact work
  • Contribute directly to AI that could transform how personalized medicine is practiced at scale
  • Exposure to advanced large language models and how they're trained on complex scientific domains
  • Potential for ongoing work and contract extension as new projects launch