Precision Medicine Data Lead

Alignerr; 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

Precision Medicine Data Lead (AI Training)

What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine — at a global scale? We're looking for a Precision Medicine Data Lead to guide the integration, governance, and transformation of complex healthcare data into insights that power cutting‑edge AI models used by leading research teams worldwide.

This is a fully remote, flexible contract role built for experienced professionals in health informatics, genomics, or life sciences data leadership. If you've spent your career making sense of complex biological and clinical datasets, this is your opportunity to apply that expertise where it matters most.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• 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 research and clinical decision support
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
• Translate advanced findings into clear, meaningful outputs for both technical and non-technical stakeholders
• Evaluate and improve data annotation, quality, and governance frameworks that underpin AI model training in healthcare contexts

Who You Are

• Experienced working 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
• Comfortable operating independently with a high degree of ownership and accountabilityDetail‑oriented and rigorous — you understand that data quality in healthcare isn't optional

Nice to Have

• Prior experience with data annotation, data quality systems, or evaluation frameworks
• Familiarity with AI model development or machine learning pipelines in a biomedical context
• Background in bioinformatics, computational biology, or clinical informatics
• Experience with platforms such as Terra, DNAnexus, or cloud‑based genomic data infrastructure

Why Join Us

• Work alongside world‑leading AI research labs on genuinely frontier problems in healthcare AI
• Fully remote and flexible — structure your hours around your life, not the other way around
• Freelance autonomy with the depth and meaning of serious scientific work
• Direct exposure to how advanced large language models are trained and evaluated in specialized domains
• Potential for ongoing work and contract extension as new projects launch