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 cutting-edge AI models and clinical research.
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 frontier 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 initiatives and clinical decision support
- Evaluate and validate AI-generated outputs in healthcare and life sciences contexts — flagging errors, gaps, and opportunities for improvement
- Collaborate cross-functionally with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
- Communicate complex findings clearly to both technical and non-technical stakeholders
- Work independently and asynchronously — on your own schedule
Who You Are
- Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics, research, or data leadership roles
- Strong background 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 and systematic — you hold data to a high standard and know when something doesn't add up
- Clear, confident communicator who can bridge the gap between data science and clinical practice
Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation workflows
- Familiarity with bioinformatics tools, EHR systems, or clinical trial data platforms
- Background in translational research, computational biology, or health informatics
- Experience working with or evaluating AI/ML models in a scientific context
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and AI teams
- 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