Precision Medicine Data Lead (AI Training) About The Role What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine — at a integral 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 accountability

Detail-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

📌 Precision Medicine Data Lead (Ciudad de México)
🏢 Alignerr
📍 Ciudad de México