Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; New York (NY); On-site; USD 83,000 - 179,000; Part time

Job summary

Alignerr Corp. seeks a Precision Medicine Data Lead to shape how genomics and clinical data power AI training and precision medicine initiatives. This fully remote, hourly contract role targets experienced data professionals in life sciences, genomics, or healthcare analytics.

You will design pipelines, guide data governance, and collaborate across clinical and engineering teams. The role emphasizes data integration, regulatory awareness, and translating complex datasets into actionable insights

Qualifications

• Experience with large-scale healthcare/genomics datasets.
• Ability to translate complex data into insights for clinical or research audiences.
• Experience working in regulated environments.

Responsibilities

• Design and optimize data pipelines integrating genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms.
• Lead analytical strategies that convert integrated data into actionable insights for precision medicine and clinical decision support.
• Collaborate with clinicians, researchers, and engineering teams to ensure data quality, regulatory compliance, and alignment between data strategy and real-world goals.
• Communicate findings and strategic recommendations clearly to technical and non-technical stakeholders.
• Apply domain expertise to evaluate and improve how AI models reason about healthcare and genomic data.

Skills

Data integration

Data governance

Healthcare analytics

Cross-functional collaboration

Job description

Alignerr Corp. seeks a Precision Medicine Data Lead to shape how genomics and clinical data power AI training and precision medicine initiatives. This fully remote, hourly contract role targets experienced data professionals in life sciences, genomics, or healthcare analytics.

You will design pipelines, guide data governance, and collaborate across clinical and engineering teams. The role emphasizes data integration, regulatory awareness, and translating complex datasets into actionable insights