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 the integration, governance, and transformation of complex healthcare and genomic datasets — powering the next generation of AI models built for clinical research and precision health.
This is a fully remote, flexible contract role designed for experienced data professionals with a background in life sciences, genomics, or healthcare analytics. Your domain expertise will directly influence how cutting-edge AI systems reason about biomedical data.
- 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 datasets into unified analytics platforms
- Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine, clinical decision support, and advanced research initiatives
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and governance best practices
- Translate highly technical findings into clear, meaningful outputs for diverse stakeholder audiences
- Apply your domain expertise to evaluate and improve AI-generated outputs related to healthcare and genomics 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 datasets 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
- Detail-oriented, methodical, and comfortable operating independently in an asynchronous, remote setting
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with regulatory frameworks in healthcare data (e.g., HIPAA, GDPR, FDA guidelines)
- Background in bioinformatics, translational research, or clinical informatics
- Experience communicating complex scientific findings to non-technical stakeholders
Why Join Us
- Work on cutting-edge AI projects alongside the world's leading AI research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Contribute to AI development that could transform how precision medicine is practiced at scale
- Potential for ongoing work and contract extension as new projects launch