About the Role
What if your expertise in genomics 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 help guide how complex healthcare and genomic data is structured, evaluated, and transformed into insights that power cutting-edge AI models. You'll work alongside leading AI research teams, bringing your domain expertise to one of the most consequential intersections of technology and human health.
This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences analytics.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare datasets into unified analytics frameworks
- Lead analytical strategies that convert complex, integrated datasets into actionable insights for research, clinical decision support, and precision medicine applications
- Evaluate AI-generated outputs related to healthcare and genomic data for accuracy, scientific soundness, and clinical relevance
- 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
- Apply domain expertise to improve how AI models reason about personalized medicine, biomarker analysis, and clinical data
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
- Sharp analytical thinker with a meticulous eye for data quality and scientific accuracy
- Self-directed and reliable — comfortable working independently in a remote, asynchronous setting
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with EHR systems, genomic databases, or clinical trial data structures
- Background in bioinformatics, computational biology, or translational research
- Experience communicating technical findings to non-specialist audiences
Why Join Us
- 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, high-impact work
- Direct influence on how AI models understand and reason about precision medicine and genomics
- Exposure to advanced large language models and the science of how they're trained
- Potential for ongoing work and contract extension as new projects launch