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 help bridge complex healthcare datasets and cutting-edge AI — transforming raw genomic, biomarker, and clinical data into insights that power the next generation of medical AI models.
This is a fully remote, flexible contract role designed for experienced professionals in healthcare data, life sciences analytics, or precision medicine. You'll work alongside world-leading AI research teams and contribute to projects that sit at the intersection of genomics, clinical research, and artificial intelligence.
- 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 annotate healthcare and genomic data to ensure quality, accuracy, and suitability for AI model training
- Collaborate with clinicians, researchers, and technical teams to align data strategy with scientific goals
- Ensure data governance, regulatory compliance, and clear communication of findings to both technical and non-technical stakeholders
- Identify gaps in data quality and recommend improvements to evaluation and annotation systems
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 datasets into meaningful clinical or scientific insights
- Comfortable navigating cross-functional environments that include clinical, research, and engineering teams
- Able to operate independently and deliver high-quality work in regulated or highly technical settings
- Sharp communicator who can make complex data concepts accessible to diverse audiences
Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation systems
- Familiarity with LLM training workflows or AI model development pipelines
- Background in bioinformatics, clinical informatics, or translational research
- Experience working with EHR systems, genomic databases, or biobank datasets
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 work
- Gain direct exposure to advanced LLMs and how they are trained on specialized scientific data
- Contribute to AI development that has real-world implications for healthcare and personalized medicine
- Potential for ongoing work and contract extension as new projects launch