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 worldwide? We're looking for a Precision Medicine Data Lead to guide how complex healthcare datasets are integrated, governed, and transformed into insights that power next-generation AI models in clinical research and precision medicine.
This is a fully remote, flexible contract role built for experienced data professionals with a background in life sciences, genomics, or healthcare analytics.
- 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 precision medicine initiatives, clinical decision support, and advanced research
- Collaborate cross-functionally with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and strategic alignment
- Clearly communicate findings and data strategies to both scientific and non-technical stakeholders
- Apply your domain expertise to evaluate and improve how AI models handle healthcare and genomic 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 clinical or scientific audiences
- Comfortable operating cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented, systematic, and able to maintain high standards of accuracy and quality
- Confident communicator who can bridge the gap between technical data work and clinical application
Nice to Have
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI model training workflows or how large language models handle scientific data
- Background in bioinformatics, clinical informatics, or translational research
- Experience working with EHR systems, genomic databases, or biobank datasets
Why Join Us
- Work on cutting-edge AI projects alongside the world's leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Contribute directly to how AI understands and advances precision medicine at a global scale
- Potential for ongoing work and contract extension as new projects launch