Precision Medicine Data Lead

Precision Medicine Data Lead (AI Training)

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 guide how complex healthcare and genomic data is integrated, governed, and transformed into actionable insights — powering the next generation of AI-driven clinical research.

This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the cutting edge of AI and precision medicine.

• 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 datasets into unified analytics platforms
• Lead analytical strategies that convert complex, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support
• Collaborate with clinicians, researchers, and engineering teams to ensure data quality, regulatory compliance, and alignment between data strategy and research goals
• Clearly communicate findings and recommendations to both technical and non-technical stakeholders
• Help shape how AI systems understand and reason about advanced healthcare and life sciences data

Who You Are

• 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 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 rigorous — you understand the stakes when data quality directly influences healthcare decisions
• Self-motivated and reliable when working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation systems
• Familiarity with bioinformatics tools, EHR systems, or clinical data standards (HL7, FHIR, etc.)
• Background in translational research, computational biology, or clinical informatics
• Experience communicating complex data findings to non-technical stakeholders

Why Join Us

• Work alongside world-leading AI research teams on genuinely cutting-edge projects
• Fully remote and flexible — structure your work around your schedule
• Freelance autonomy with the substance of meaningful, high-impact work
• Gain direct exposure to how advanced AI models are trained on complex scientific data
• Contribute to AI development that has real consequences for the future of healthcare
• Potential for ongoing work and contract extension as new projects launch