Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; Ireland; Remote; EUR 83,000 - 152,000; Part time

Job summary

Alignerr is seeking a Precision Medicine Data Lead to guide the integration, governance, and transformation of genomics and clinical data for AI training in clinical research and personalized medicine.

This fully remote, hourly contract role offers 10–40 hours per week with potential for ongoing projects. You will work across clinical, research, and engineering teams to shape data strategies and ensure regulatory compliance.

Qualifications

• Experience with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles.
• Strong data integration and governance skills to render messy datasets usable.
• Ability to translate complex data into actionable scientific and clinical insights.

Responsibilities

• Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and healthcare data into unified analytics platforms
• Lead analytical strategies that convert complex, integrated datasets into actionable insights for clinical decision support and precision medicine initiatives
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and alignment between data strategy and research goals
• Communicate findings and recommendations clearly to both scientific and non-technical stakeholders
• Contribute to the development of cutting-edge AI models by providing domain expertise in healthcare and life sciences data

Skills

Healthcare datasets

Genomics data

Data governance

Data integration

Cross-functional collaboration

Tools

HL7/FHIR standards

Job description

Alignerr is seeking a Precision Medicine Data Lead to guide the integration, governance, and transformation of genomics and clinical data for AI training in clinical research and personalized medicine.

This fully remote, hourly contract role offers 10–40 hours per week with potential for ongoing projects. You will work across clinical, research, and engineering teams to shape data strategies and ensure regulatory compliance.