Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; Salt Lake City (UT); On-site; USD 11,021,000 - 19,286,000; Part time

Job summary

Alignerr is seeking a Precision Medicine Data Lead (AI Training) for a fully remote hourly contract. You will design and oversee pipelines that unify genomics and clinical data, enabling actionable insights for AI training and precision medicine initiatives.

You will lead data integration and governance efforts, translating complex datasets for clinicians, researchers, and engineers while ensuring regulatory alignment and quality across projects.

Qualifications

• Experience with large-scale healthcare/genomic datasets in analytics or data leadership roles.
• Strong background in data integration and governance.
• Ability to translate complex data for scientific or clinical audiences.

Responsibilities

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

Skills

Healthcare data analytics

Data governance

Genomics data

Cross-functional collaboration

Remote collaboration

Job description

Alignerr is seeking a Precision Medicine Data Lead (AI Training) for a fully remote hourly contract. You will design and oversee pipelines that unify genomics and clinical data, enabling actionable insights for AI training and precision medicine initiatives.

You will lead data integration and governance efforts, translating complex datasets for clinicians, researchers, and engineers while ensuring regulatory alignment and quality across projects.