Precision Medicine Data Lead

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

Precision Medicine Data Lead (AI Training)

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 guide how complex healthcare and genomic datasets are integrated, governed, and transformed into actionable insights — insights that train the next generation of AI models in healthcare.

About The Role

This is a fully remote, flexible contract role built for experienced data professionals with a background in life sciences, clinical analytics, or genomic data. If you've spent your career at the intersection of data and medicine, this is your opportunity to put that expertise to work on something genuinely cutting-edge.

• 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 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

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
• Comfortable operating 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 how to communicate when something doesn't meet it
• Self-directed and reliable when working independently on complex, open-ended problems

Nice to Have

• Prior experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with AI or machine learning workflows applied to healthcare or genomics
• Background in bioinformatics, translational research, or clinical informatics
• Experience working within HIPAA-compliant or similarly regulated data environments

Why Join Us

• Work alongside world-leading AI research labs on genuinely frontier projects
• Fully remote and flexible — structure your work around your life, not the other way around
• Freelance autonomy with the substance of meaningful, high-impact work
• Apply deep domain expertise to a field where it truly matters — AI that understands medicine
• Potential for ongoing work and contract extension as new projects launch