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 bring deep domain knowledge to cutting-edge AI training projects — helping ensure that the models influencing healthcare and life sciences research are built on a foundation of rigorous, expertly governed data.
This is a fully remote, flexible contract role designed for experienced professionals in healthcare data, genomics, or life sciences analytics who want to apply their skills at the frontier of AI development.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design, evaluate, and optimize pipelines that integrate genomic, clinical, biomarker, and broader healthcare datasets into unified analytics platforms
- Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine and clinical research applications
- Assess and improve how AI systems interpret, reason about, and generate healthcare and genomic data
- Collaborate cross-functionally with clinicians, researchers, and technical teams to align data strategy with scientific and clinical goals
- Ensure data quality, regulatory awareness, and meaningful communication of results to diverse stakeholders
- Apply domain expertise to evaluate AI 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 and data governance across clinical or research environments
- Skilled at translating complex, multi-modal data into clear, meaningful insights for scientific and clinical audiences
- Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical settings
- Detail-oriented and rigorous — you hold yourself to high standards of accuracy and scientific integrity
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Familiarity with precision medicine frameworks, EHR systems, or genomic data platforms
- Background in bioinformatics, clinical informatics, or translational research
- Experience communicating data findings to non-technical clinical or executive stakeholders
Why Join Us
- Work on cutting-edge AI projects alongside the world's leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact project work
- Apply your domain expertise to problems that sit at the intersection of AI and the future of medicine
- Potential for ongoing work and contract extension as new projects launch
