Alignerr
Precision Medicine Data Lead
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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? We're looking for a Precision Medicine Data Lead to guide the integration of complex healthcare datasets into meaningful insights — helping train the next generation of AI models that will influence clinical decision-making and medical research at scale.
This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences who want to apply their expertise 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 data into unified analytics platforms
- Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine research and clinical decision support
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
- Communicate findings and recommendations clearly to both scientific and non-technical stakeholders
- Help shape how AI models reason about healthcare data — contributing to systems that could influence the future of personalized treatment
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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
- Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented and methodical — you understand that data quality in healthcare isn't just best practice, it's critical
- Comfortable working independently and asynchronously in a fully remote setting
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Nice to Have
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI training workflows or large language model development
- Background in bioinformatics, translational research, or clinical informatics
- Experience with regulatory frameworks relevant to healthcare data (HIPAA, GDPR, etc.)
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
- Apply deep domain expertise to problems that sit at the intersection of healthcare and artificial intelligence
- Potential for ongoing work and contract extension as new projects launch
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