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 the actionable insights that power next-generation AI models in clinical research and precision health.
This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the intersection of life sciences 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 datasets into unified analytics platforms
- Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support
- Collaborate with clinicians, researchers, and engineering teams to ensure data quality, regulatory compliance, and strategic alignment
- Communicate findings clearly and effectively to both technical and non-technical stakeholders
- Evaluate and improve how AI models handle healthcare and genomic data — ensuring scientific accuracy, clinical relevance, and real-world applicability
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 scientific data into meaningful insights
- Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented, methodical, and comfortable operating at the frontier of healthcare data science
- 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
- Familiarity with AI training workflows or large language model (LLM) evaluation
- Background in bioinformatics, translational research, or clinical informatics
- Experience with regulatory frameworks relevant to healthcare data (HIPAA, GDPR, etc.)
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 scale
- Potential for ongoing work and contract extension as new projects launch