Remote Precision Medicine Data Lead — AI Training

Alignerr Corp.; United States; Remote; MXN 1,556,000 - 2,334,000; Full time

Job summary

Alignerr is seeking a Precision Medicine Data Lead (AI Training) to guide integration and governance of complex health data for AI models on a global scale. This fully remote hourly contract offers flexible hours (10–40 hours/week) and impact across research teams worldwide.

You will design data pipelines, lead strategies, and collaborate with clinicians, researchers, and engineers to ensure data quality and regulatory compliance, enabling rigorous AI model training in healthcare.

Qualifications

• Experience with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles.
• Strong background in data integration, data governance, and translating complex data into meaningful insights for scientific or clinical audiences.
• Able to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments.
• Detail‑oriented and rigorous — you understand that data quality in healthcare isn't optional.

Responsibilities

• Design, oversee, and optimize data pipelines integrating genomics, clinical records, biomarkers into analytics platforms.
• Lead analytical strategies converting complex datasets into insights for precision medicine and decision support.
• Collaborate with clinicians, researchers, and tech teams to ensure data quality and regulatory alignment.
• Translate findings into clear outputs for both technical and non-technical stakeholders.
• Evaluate and improve data annotation, quality, and governance for AI model training in healthcare contexts.

Skills

Data governance

Data integration

Data quality

Cross-functional collaboration

Analytical leadership

Tools

Terra

DNAnexus

Job description

Alignerr is seeking a Precision Medicine Data Lead (AI Training) to guide integration and governance of complex health data for AI models on a global scale. This fully remote hourly contract offers flexible hours (10–40 hours/week) and impact across research teams worldwide.

You will design data pipelines, lead strategies, and collaborate with clinicians, researchers, and engineers to ensure data quality and regulatory compliance, enabling rigorous AI model training in healthcare.