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 how complex healthcare datasets are integrated, governed, and transformed into insights that power cutting-edge AI models and clinical research.

This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the intersection of life sciences and frontier AI.

• 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 precision medicine initiatives and clinical decision support
• Evaluate and validate AI-generated outputs in healthcare and life sciences contexts — flagging errors, gaps, and opportunities for improvement
• Collaborate cross-functionally with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
• Communicate complex findings clearly to both technical and non-technical stakeholders
• Work independently and asynchronously — on your own schedule

Who You Are

• 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 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 and systematic — you hold data to a high standard and know when something doesn't add up
• Clear, confident communicator who can bridge the gap between data science and clinical practice

Nice to Have

• Prior experience with data annotation, data quality assessment, or AI evaluation workflows
• Familiarity with bioinformatics tools, EHR systems, or clinical trial data platforms
• Background in translational research, computational biology, or health informatics
• Experience working with or evaluating AI/ML models in a scientific context

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 how AI understands and advances precision medicine at scale
• Potential for ongoing work and contract extension as new projects launch