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
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