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 how complex healthcare and genomic data is structured, integrated, and transformed into insights that power the next generation of AI-driven clinical research.
This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences analytics who want to apply their expertise at the frontier of AI development.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design, evaluate, and optimize pipelines that integrate genomic data, clinical records, biomarkers, and other healthcare datasets into unified analytics frameworks
- Lead analytical strategies that convert complex, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
- Translate sophisticated data findings into clear, meaningful outputs for both scientific and non-technical stakeholders
- Contribute to data governance frameworks that uphold the highest standards of accuracy and compliance in regulated environments
- Work independently and asynchronously — fully on your own schedule
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 scientific or clinical insights
- Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented, rigorous, and comfortable navigating the complexity of multi-source healthcare data
- Clear communicator who can bridge the gap between technical data work and clinical or research audiences
Nice to Have
- Prior experience with data annotation, data quality assurance, or evaluation systems
- Familiarity with AI model training workflows or large language model (LLM) development
- Background in bioinformatics, translational research, or clinical informatics
- Experience working within HIPAA-compliant or similarly regulated data environments
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 and healthcare
- Gain exposure to advanced LLMs and the science behind how they are trained and evaluated
- Potential for ongoing work and contract extension as new projects launch