Precision Medicine Data Lead (AI Training) 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 the integration of complex healthcare datasets into actionable insights --- helping train and evaluate cutting-edge AI models at the frontier of life sciences.
This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to do meaningful work on their own terms.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10--40 hours/week
What You'll Do
- Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms
- Lead analytical strategies that convert complex, multi-source datasets into actionable insights for clinical decision support and precision medicine initiatives
- Evaluate AI-generated outputs related to healthcare and genomic data for accuracy, scientific rigor, and clinical relevance
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
- Translate highly technical findings into clear, structured insights for diverse scientific and clinical stakeholders
- Apply your domain expertise to assess and improve how AI models reason about biological and clinical data
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
- Detail-oriented, scientifically rigorous, and confident communicating with both technical and non-technical collaborators
- Self-motivated and reliable --- you produce high-quality work independently without close supervision
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with bioinformatics tools, EHR systems, or clinical data standards (HL7, FHIR, etc.)
- Background in translational research, clinical informatics, or population health analytics
- Experience working in regulated healthcare environments (HIPAA, GCP, or similar)
Why Join Us
- Work on cutting-edge AI projects alongside world-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, task-based work
- Apply deep domain expertise to one of the most consequential intersections of AI and human health
- Potential for ongoing work and contract extension as new projects launch
