Precision Medicine Data Lead (AI Training)
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 guide the integration, governance, and analysis of complex healthcare datasets — helping build AI systems that power the next generation of clinical decision-making.
This is a fully remote, flexible contract role designed for experienced professionals in healthcare data, genomics, or life sciences who want to apply their expertise to cutting-edge 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 datasets into unified analytics platforms
- Lead analytical strategies that transform complex, integrated datasets into actionable insights for clinical research, decision support, and precision medicine initiatives
- Evaluate and validate how AI systems reason over healthcare and genomic data — identifying gaps, errors, and opportunities for improvement
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
- Communicate findings and strategic recommendations clearly to both technical and non-technical stakeholders
- Contribute to data annotation, quality evaluation, and structured feedback workflows that improve AI model performance in healthcare contexts
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
- Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Naturally detail-oriented with a rigorous, systematic approach to data quality and validation
- Self-directed and effective when working independently in asynchronous, remote settings
Nice to Have
- Prior experience with data annotation, data quality systems, or AI model evaluation
- Familiarity with bioinformatics tools, EHR systems, or clinical data standards (HL7, FHIR, etc.)
- Background in translational research, clinical informatics, or precision oncology
- Exposure to machine learning workflows applied to healthcare or life sciences data
Why Join Us
- Work alongside world-leading AI research labs on projects at the frontier of healthcare AI
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the substance of meaningful, high-impact work
- Direct exposure to how advanced large language models are trained and evaluated in specialized scientific domains
- Potential for ongoing work and contract extension as new projects launch
