Precision Medicine Data Lead

About The Role

What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine for millions of patients? We're looking for a Precision Medicine Data Lead to guide how complex healthcare datasets are integrated, governed, and transformed into actionable insights — and in doing so, help train the AI systems that will define the next generation of clinical research and care.

This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the intersection of cutting-edge AI and life sciences.

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

• Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms
• Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine research and clinical decision support
• Collaborate with clinicians, researchers, and engineering teams to ensure data quality, regulatory alignment, and strategic coherence
• Communicate findings and data narratives clearly to both technical and non-technical stakeholders
• Apply your expertise to evaluate and improve how AI systems handle healthcare and genomic data — ensuring outputs are accurate, rigorous, and clinically meaningful

• 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
• Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Comfortable navigating the nuances of healthcare data compliance and research ethics
• Detail-oriented, self-directed, and comfortable working independently in an asynchronous environment

• Prior experience with data annotation, data quality assessment, or AI evaluation systems
• Familiarity with EHR systems, genomic databases, or biomedical ontologies
• Background in bioinformatics, computational biology, or clinical informatics
• Experience contributing to precision medicine or translational research initiatives

• Work on cutting-edge AI projects alongside world-leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert-level work
• Make a direct, tangible impact on how AI understands and advances human health
• Potential for ongoing work and contract extension as new projects launch