Precision Medicine Data Lead

Precision Medicine Data Lead (AI Training)

What if your deep 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 help guide the integration, governance, and transformation of complex healthcare datasets — powering the next generation of AI-driven clinical insights.

This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences analytics. If you’ve spent your career making sense of complex biological and clinical data, this is your opportunity to put that expertise to work at the frontier of AI.

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

• Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and multi-modal healthcare data into unified analytics platforms
• Lead analytical strategies that convert complex, integrated datasets into actionable insights for clinical decision support, research, and precision medicine initiatives
• Evaluate and improve how AI systems reason about genomic and clinical data — identifying gaps, errors, and opportunities to enhance accuracy and clinical relevance
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific integrity
• Clearly communicate findings and data narratives to both technical and non-technical stakeholders
• Apply domain knowledge to assess and annotate AI-generated outputs in healthcare and life sciences contexts

• Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics, research, or data leadership roles
• Strong background in data integration, data governance, and translating complex datasets into meaningful insights for scientific or clinical audiences
• Comfortable navigating cross-functional environments — working alongside clinical, research, and engineering teams in regulated or highly technical settings
• Detail-oriented and rigorous in your approach to data quality and scientific accuracy
• Self-motivated and dependable when working independently and asynchronously

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Familiarity with bioinformatics pipelines, EHR systems, or clinical trial data structures
• Background in translational research, computational biology, or health informatics
• Experience communicating complex scientific findings to non-specialist audiences

• Work at the cutting edge of AI development alongside world-leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-stakes technical work
• Direct impact on how AI systems understand and advance precision medicine
• Exposure to state-of-the-art large language models and how they’re trained on specialized scientific knowledge
• Potential for ongoing work and contract extension as new projects launch