Precision Medicine Data Lead

Precision Medicine Data Lead (AI Training)

About the Role

What if your expertise in genomic 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 guide the integration, governance, and transformation of complex healthcare datasets - helping build the AI systems that will power the next generation of clinical research and precision treatment strategies.

This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the cutting edge of AI and biomedicine.

• 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 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
• Translate highly technical findings into clear, meaningful outputs for both scientific and non-technical stakeholders
• Contribute domain expertise to the development and evaluation of AI models trained on healthcare and life sciences 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 scientific or clinical audiences
• Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented, methodical, and able to maintain rigorous standards across complex, multi-source datasets
• Self-motivated and reliable when working independently and asynchronously

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with bioinformatics tools, electronic health records (EHR) systems, or clinical data standards (HL7, FHIR, etc.)
• Background in translational research, computational biology, or clinical informatics
• Experience working with or evaluating large language models (LLMs) in scientific contexts

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 systems that could reshape how medicine is practiced and personalized at scale
• Exposure to advanced LLMs and the real-world processes behind how they are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch