Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; Auckland; Remote; NZD 96,000 - 179,000; Part time

Job summary

Alignerr is seeking a Precision Medicine Data Lead to guide how genomics and clinical data are integrated, governed, and transformed into actionable insights that train AI models in healthcare. This fully remote contract role suits experienced data professionals at the intersection of life sciences and data engineering.

You will design pipelines, lead analytics strategies, validate AI outputs, ensure regulatory alignment, and collaborate with clinicians and researchers.

Qualifications

• Experience designing, overseeing, and optimizing data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data.

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 research, clinical decision support, and precision medicine initiatives.
• Evaluate and validate AI-generated outputs related to healthcare and genomic data for accuracy, clinical relevance, and scientific soundness.
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence.
• Communicate findings and recommendations clearly to both scientific and non-technical stakeholders.
• Contribute to data governance frameworks and quality standards in highly regulated environments.

Skills

Data pipelines

Data governance

Genomics data

Clinical data

Regulated environments

Cross-functional collaboration

Job description

Alignerr is seeking a Precision Medicine Data Lead to guide how genomics and clinical data are integrated, governed, and transformed into actionable insights that train AI models in healthcare. This fully remote contract role suits experienced data professionals at the intersection of life sciences and data engineering.

You will design pipelines, lead analytics strategies, validate AI outputs, ensure regulatory alignment, and collaborate with clinicians and researchers.