Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; Vancouver; Remote; CAD 115,000 - 269,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Job summary

Alignerr Corp. is seeking a Precision Medicine Data Lead (AI Training) for a fully remote hourly contract. The role focuses on guiding integration, governance, and transformation of genomic and clinical data into insights powering AI-driven clinical research.

Ideal candidates have experience with large-scale healthcare datasets and cross-functional collaboration in regulated environments, delivering actionable narratives for stakeholders.

Qualifications

• Experience with large-scale healthcare/genomics datasets in analytics or data leadership.
• Strong data integration and governance experience for scientific/clinical audiences.
• Ability to translate complex data into clear insights for stakeholders.
• Comfort working remotely and asynchronously in regulated environments.

Responsibilities

• Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms.
• Lead analytical strategies that convert complex, integrated datasets into impactful precision medicine insights and decision support.
• Collaborate with clinicians, researchers, and technical teams to ensure data quality and regulatory compliance.
• Translate data findings into clear narratives for scientific and clinical stakeholders.
• Evaluate and improve AI outputs in healthcare and life sciences contexts.

Skills

Genomics data

Healthcare data

Data governance

Data integration

Clinical analytics

Remote work

Tools

HL7

FHIR

Job description

Alignerr Corp. is seeking a Precision Medicine Data Lead (AI Training) for a fully remote hourly contract. The role focuses on guiding integration, governance, and transformation of genomic and clinical data into insights powering AI-driven clinical research.

Ideal candidates have experience with large-scale healthcare datasets and cross-functional collaboration in regulated environments, delivering actionable narratives for stakeholders.