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 human health — and ultimately help power the next generation of personalized medicine?
We're looking for a Precision Medicine Data Lead to guide how complex healthcare and genomic datasets are integrated, governed, and transformed into actionable insights. You'll work at the intersection of cutting-edge AI research and real-world clinical impact, collaborating with world-leading research teams to ensure AI models are trained on high-quality, meaningful healthcare data.
This is a fully remote, flexible contract role built for experienced data professionals who want to apply their expertise to something that matters.

• Organization : Alignerr

• Type : Hourly Contract

• Location : Remote

- Commitment : 10–40 hours/week

• Commitment : 10–40 hours/week

• Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms

• Lead analytical strategies that convert complex, integrated datasets into clear, actionable insights for research and clinical decision support

• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence

• Translate highly technical findings into meaningful outputs for diverse stakeholders — from data engineers to clinical leads

- Apply domain expertise to support precision medicine initiatives and advanced AI training workflows

• Apply domain expertise to support precision medicine initiatives and advanced AI training workflows

• 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 insights for scientific or clinical audiences

• Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or technically demanding environments

• Detail-oriented and rigorous — you care about data quality and know what it takes to get it right

- Self-directed and able to work independently in a remote, asynchronous setting

• Self-directed and able to work independently in a remote, asynchronous setting

• Prior experience with data annotation, data quality assurance, or AI evaluation systems

• Familiarity with bioinformatics tools or genomic data standards

• Background in clinical research, precision oncology, rare disease, or population health

- Experience contributing to or reviewing AI/ML training datasets in healthcare contexts

• Experience contributing to or reviewing AI/ML training datasets in healthcare contexts

• Work directly with leading AI research labs on projects shaping the frontier of healthcare AI

• Fully remote and flexible — structure your work around your schedule

• Freelance autonomy with the depth and purpose of meaningful, expert-level work

• Contribute to AI development that has a real-world impact on how medicine is understood and practiced

• Potential for ongoing work and contract extension as new projects launch