Precision Medicine Data Lead

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 worldwide? We're looking for a Precision Medicine Data Lead to help guide how complex healthcare and genomic data is structured, integrated, 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 apply their expertise at the frontier of AI development.

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

• Design, evaluate, and optimize pipelines that integrate genomic data, clinical records, biomarkers, and other healthcare datasets into unified analytics frameworks
• Lead analytical strategies that convert complex, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
• Translate sophisticated data findings into clear, meaningful outputs for both scientific and non-technical stakeholders
• Contribute to data governance frameworks that uphold the highest standards of accuracy and compliance in regulated environments
• Work independently and asynchronously — fully on your own schedule

• 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 scientific or clinical insights
• Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented, rigorous, and comfortable navigating the complexity of multi-source healthcare data
• Clear communicator who can bridge the gap between technical data work and clinical or research audiences

• Prior experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with AI model training workflows or large language model (LLM) development
• Background in bioinformatics, translational research, or clinical informatics
• Experience working within HIPAA-compliant or similarly regulated data environments

• 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 and healthcare
• Gain exposure to advanced LLMs and the science behind how they are trained and evaluated
• Potential for ongoing work and contract extension as new projects launch