Remote AI-Driven Precision Medicine Data Lead

Alignerr Corp.; Vancouver; Remote; CAD 83,000 - 165,000; Part time

Job summary

Alignerr Corp., a Canada-based AI for healthcare, seeks a Precision Medicine Data Lead to guide how genomics and clinical datasets are integrated, governed, and transformed into insights powering AI-driven clinical research.

This remote, hourly contract role focuses on designing data pipelines, leading analytics strategies, and collaborating with clinicians, researchers, and engineering teams to ensure data quality, regulatory compliance, and meaningful scientific narratives.

Qualifications

• Experience with large-scale healthcare/genomics data and analytics leadership.
• Ability to translate data into actionable insights for clinical decision-making.
• Experience in regulated or highly technical 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 actionable insights for precision medicine initiatives and clinical decision support
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and strategic alignment
• Translate sophisticated data findings into clear, meaningful narratives for scientific and clinical stakeholders
• Apply domain expertise to evaluate, annotate, and improve AI-generated outputs in healthcare and life sciences contexts

Skills

Data governance

Healthcare analytics

Genomics data handling

Data integration

Cross-functional collaboration

Tools

HL7

FHIR

Job description

Alignerr Corp., a Canada-based AI for healthcare, seeks a Precision Medicine Data Lead to guide how genomics and clinical datasets are integrated, governed, and transformed into insights powering AI-driven clinical research.

This remote, hourly contract role focuses on designing data pipelines, leading analytics strategies, and collaborating with clinicians, researchers, and engineering teams to ensure data quality, regulatory compliance, and meaningful scientific narratives.