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 datasets are structured, governed, and transformed into insights that power the next generation of AI-driven clinical research.
This is a fully remote, flexible contract role for experienced professionals in healthcare data, genomics, or life sciences analytics. If you've spent your career making sense of complex biological and clinical datasets — this is your opportunity to apply that expertise at the cutting edge of AI development.
- 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 research, clinical decision support, and precision medicine initiatives
- Evaluate and improve how AI models interpret and reason about healthcare and genomic data
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
- Communicate findings and data strategies clearly to both technical and non-technical stakeholders
- Apply domain expertise to assess AI-generated outputs for accuracy, clinical relevance, and scientific soundness
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 scientific or clinical audiences
- Able to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented and rigorous — you hold data to a high standard and know when something doesn't add up
- Comfortable working independently and asynchronously in a remote environment
Nice to Have
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI or machine learning workflows applied to healthcare or life sciences
- Background in bioinformatics, clinical informatics, or translational research
- Experience with EHR systems, genomic databases, or biobank data platforms
Why Join Us
- Work alongside world-leading AI research labs on genuinely frontier problems in healthcare AI
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact project work
- Direct exposure to how advanced AI models are trained and evaluated in specialized scientific domains
- Contribute to work that could meaningfully improve how AI supports clinical decision-making and personalized treatment
- Potential for ongoing work and contract extension as new projects launch