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 bring deep healthcare and life sciences knowledge to cutting-edge AI development — helping ensure that the models influencing the future of medicine are built on rigorous, well-integrated, and clinically meaningful data.

This is a fully remote, flexible contract role designed for experienced professionals in genomics, clinical informatics, or precision medicine data. Work on your own schedule, contribute to work that matters, and collaborate with world-leading AI research teams.

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

What You'll Do

• Design, evaluate, and optimize approaches for integrating genomics, clinical records, biomarkers, and other complex healthcare datasets into unified analytics frameworks
• Lead analytical strategies that transform integrated datasets into actionable insights for AI training, clinical decision support, and precision medicine research
• Assess the quality, accuracy, and clinical relevance of AI-generated outputs in healthcare and life sciences contexts
• Collaborate with clinical, research, and engineering teams to ensure data governance, regulatory alignment, and scientific rigor
• Communicate complex findings clearly to both technical and non-technical stakeholders
• Work independently and asynchronously — fully 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 biological or clinical data into meaningful insights
• Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented and rigorous — you hold data to a high standard and understand the stakes in healthcare contexts
• Clear and confident communicator who can distill technical complexity for diverse audiences

Nice to Have

• Prior experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with AI training workflows or large language model evaluation
• Background in bioinformatics, clinical informatics, computational biology, or related fields
• Experience working in or alongside regulated healthcare or research environments

Why Join Us

• 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
• Contribute to AI development that has real implications for the future of personalized medicine
• Potential for ongoing work and contract extension as new projects launch