Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; Seattle (WA); Remote; USD 96,000 - 165,000; Part time

Job summary

Alignerr is seeking a Precision Medicine Data Lead (AI Training) for a remote hourly contract. You will design and optimize data pipelines that integrate genomics and clinical data, guiding analytics that power AI models in precision health.

You will collaborate with clinicians, researchers, and engineers to ensure data quality, regulatory compliance, and strategic alignment, while advancing AI training workflows in healthcare data science.

Qualifications

• Experience with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles.
• Background in data integration and data governance.

Responsibilities

• Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare datasets into unified analytics platforms
• Lead analytical strategies that transform 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 strategic alignment
• Communicate findings clearly and effectively to both technical and non-technical stakeholders
• Evaluate and improve how AI models handle healthcare and genomic data — ensuring scientific accuracy, clinical relevance, and real-world applicability

Skills

Data integration

Data governance

Healthcare analytics

Cross-functional collaboration

Job description

Alignerr is seeking a Precision Medicine Data Lead (AI Training) for a remote hourly contract. You will design and optimize data pipelines that integrate genomics and clinical data, guiding analytics that power AI models in precision health.

You will collaborate with clinicians, researchers, and engineers to ensure data quality, regulatory compliance, and strategic alignment, while advancing AI training workflows in healthcare data science.