Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; United States; Remote; USD 83,000 - 165,000; Full time

Job summary

Alignerr is seeking a Precision Medicine Data Lead (AI Training) to guide how genomics and clinical data are structured and transformed into insights powering AI-driven clinical research. This is a fully remote hourly contract role with 10–40 hours per week.

You will design data pipelines, governance, and analytics platforms; lead analytical strategies; and collaborate with clinicians, researchers, and engineers to ensure data quality and regulatory alignment for cutting-edge healthcare AI

Qualifications

• Experience with large-scale healthcare/genomics datasets in analytics or data leadership.
• Data integration and governance.
• Ability to work cross-functionally in regulated or highly technical environments.

Responsibilities

• 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 datasets into actionable insights for research and precision medicine initiatives
• Evaluate and improve how AI models interpret and reason about healthcare and genomic data
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
• Communicate findings and data strategies clearly to technical and non-technical stakeholders
• Apply domain expertise to assess AI outputs for accuracy and clinical relevance

Skills

Genomics data

Data governance

Data integration

Healthcare data

Remote work

Tools

EHR systems

Genomic databases

Job description

Alignerr is seeking a Precision Medicine Data Lead (AI Training) to guide how genomics and clinical data are structured and transformed into insights powering AI-driven clinical research. This is a fully remote hourly contract role with 10–40 hours per week.

You will design data pipelines, governance, and analytics platforms; lead analytical strategies; and collaborate with clinicians, researchers, and engineers to ensure data quality and regulatory alignment for cutting-edge healthcare AI