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 actionable insights — powering the next generation of AI models trained on real scientific and clinical knowledge.
This is a fully remote, flexible contract role built for experienced data professionals who want to work at the intersection of life sciences, healthcare analytics, and cutting-edge AI.
- 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 research and clinical decision support
- Evaluate and improve how AI systems reason about genomic and clinical data — identifying gaps, errors, and opportunities to enhance accuracy and scientific rigor
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and meaningful communication of results
- Apply domain expertise to assess the quality and trustworthiness of AI-generated outputs in healthcare and life sciences contexts
Who You Are
- Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles
- Strong foundation in data integration, data governance, and translating complex data into meaningful insights for scientific or clinical audiences
- Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented, analytically rigorous, and able to communicate nuanced findings clearly
- Self-motivated and reliable when working independently in a remote, async environment
Nice to Have
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Background in bioinformatics, translational research, or clinical informatics
- Familiarity with AI tools, large language models, or healthcare AI applications
- Experience navigating HIPAA, GDPR, or other regulatory frameworks in data environments
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 project 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