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? We're looking for a Precision Medicine Data Lead to guide how complex healthcare and genomic data is integrated, governed, and transformed into insights that power cutting-edge AI models and precision treatment strategies.
This is a fully remote, flexible contract role built for experienced data professionals in life sciences, clinical research, or healthcare analytics who want to work at the frontier of 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 convert complex, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support
- Evaluate AI-generated outputs in the healthcare and life sciences domain for accuracy, clinical relevance, and scientific integrity
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and clear communication of results to diverse stakeholders
- Apply data governance best practices to maintain compliance and rigor across highly sensitive healthcare datasets
- Work independently and asynchronously — on your own schedule
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, with the ability to translate complex datasets into meaningful insights for scientific and clinical audiences
- Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented and rigorous — you hold yourself to high standards of scientific and analytical quality
- Self-motivated and reliable when working independently without close supervision
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Familiarity with electronic health records (EHR), genomic databases, or biomarker platforms
- Background in bioinformatics, translational research, or clinical data science
- Exposure to AI/ML workflows or large language model (LLM) training pipelines
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 work
- Contribute directly to AI systems that could reshape how medicine is practiced globally
- Gain exposure to advanced LLMs and how they are trained on specialized scientific domains
- Potential for ongoing work and contract extension as new projects launch