Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; Sheffield (TX); Remote; USD 83,000 - 138,000; Part time

Job summary

Alignerr is seeking a Precision Medicine Data Lead to design, oversee, and refine data foundations powering healthcare AI. You will translate large-scale genomic and clinical datasets into actionable insights for precision medicine research and clinical decision support.

This fully remote hourly contract requires experience with regulated healthcare data and cross-functional collaboration across clinical, research, and engineering teams.

Qualifications

• Experience handling large-scale healthcare, genomic, or life sciences data in analytics or data leadership roles.
• Proficiency in data integration, governance, and translating complex data into actionable insights.

Responsibilities

• Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and healthcare data into unified analytics platforms.
• Lead analytical strategies transforming integrated datasets into actionable precision medicine insights.
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor.
• Translate complex findings into clear outputs for technical and non-technical stakeholders.
• Apply data governance to maintain compliance and integrity across sensitive healthcare data.
• Evaluate and improve AI-generated outputs in genomic and clinical data workflows.

Skills

Data integration

Data governance

Genomics data

Healthcare analytics

Cross-functional leadership

Scientific writing

Tools

Python

SQL

ETL pipelines

BI tools

Job description

Alignerr is seeking a Precision Medicine Data Lead to design, oversee, and refine data foundations powering healthcare AI. You will translate large-scale genomic and clinical datasets into actionable insights for precision medicine research and clinical decision support.

This fully remote hourly contract requires experience with regulated healthcare data and cross-functional collaboration across clinical, research, and engineering teams.