Precision Medicine Data Lead
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 how complex healthcare datasets are integrated, governed, and transformed into insights that power cutting-edge AI models and clinical research. This is a fully remote, flexible contract role built for experienced data professionals with a background in life sciences, genomics, or healthcare analytics.
- 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 data into unified analytics platforms
- Lead analytical strategies that convert complex, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support
- Collaborate with clinicians, researchers, and engineering teams to ensure data quality, regulatory compliance, and alignment between data strategy and real-world goals
- Communicate findings and strategic recommendations clearly to both technical and non-technical stakeholders
- Apply your domain expertise to evaluate and improve how AI models reason about healthcare and genomic 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
- Able to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented, structured thinker who can bridge the gap between raw data and strategic decision-making
- Comfortable working independently and asynchronously in a remote environment
Nice to Have
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI or machine learning workflows applied to healthcare or life sciences
- Background in bioinformatics, translational research, or clinical informatics
- Experience working within HIPAA-compliant or similarly regulated data environments
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
- Direct exposure to how advanced AI and large language models are trained on specialized scientific domains
- Contribute to AI development that could genuinely reshape the future of healthcare
- Potential for ongoing work and contract extension as new projects launch
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