Precision Medicine Data Lead

Alignerr Corp.; United States; Remote; USD 83,000 - 165,000; Full time

Job summary

Alignerr is seeking a Precision Medicine Data Lead (AI Training) to guide how genomics and clinical data are structured and transformed into insights powering AI-driven clinical research. This is a fully remote hourly contract role with 10–40 hours per week.

You will design data pipelines, governance, and analytics platforms; lead analytical strategies; and collaborate with clinicians, researchers, and engineers to ensure data quality and regulatory alignment for cutting-edge healthcare AI

Qualifications

• Experience with large-scale healthcare/genomics datasets in analytics or data leadership.
• Data integration and governance.
• Ability to work cross-functionally 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 datasets into actionable insights for research and precision medicine initiatives
• Evaluate and improve how AI models interpret and reason about healthcare and genomic data
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
• Communicate findings and data strategies clearly to technical and non-technical stakeholders
• Apply domain expertise to assess AI outputs for accuracy and clinical relevance

Skills

Genomics data

Data governance

Data integration

Healthcare data

Remote work

Tools

EHR systems

Genomic databases

Job description

Precision Medicine Data Lead (AI Training)

About The Role

What if your expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine for millions of patients worldwide? We're looking for a Precision Medicine Data Lead to help guide how complex healthcare and genomic datasets are structured, governed, and transformed into insights that power the next generation of AI-driven clinical research.

This is a fully remote, flexible contract role for experienced professionals in healthcare data, genomics, or life sciences analytics. If you've spent your career making sense of complex biological and clinical datasets — this is your opportunity to apply that expertise at the cutting edge of AI development.

• 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 research, clinical decision support, and precision medicine initiatives
• Evaluate and improve how AI models interpret and reason about healthcare and genomic data
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
• Communicate findings and data strategies clearly to both technical and non-technical stakeholders
• Apply domain expertise to assess AI-generated outputs for accuracy, clinical relevance, and scientific soundness

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
• Detail-oriented and rigorous — you hold data to a high standard and know when something doesn't add up
• Comfortable working independently and asynchronously in a remote environment

Nice to Have

• Prior experience with data annotation, data quality assessment, or evaluation systems
• Familiarity with AI or machine learning workflows applied to healthcare or life sciences
• Background in bioinformatics, clinical informatics, or translational research
• Experience with EHR systems, genomic databases, or biobank data platforms

Why Join Us

• Work alongside world-leading AI research labs on genuinely frontier problems in healthcare AI
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact project work
• Direct exposure to how advanced AI models are trained and evaluated in specialized scientific domains
• Contribute to work that could meaningfully improve how AI supports clinical decision‑making and personalized treatment
• Potential for ongoing work and contract extension as new projects launch