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