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 for millions of patients worldwide? We're looking for a Precision Medicine Data Lead to guide how complex healthcare and genomic datasets are integrated, governed, and transformed into insights that power the next generation of AI-driven clinical research.
This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences 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 data into unified analytics platforms
- Lead analytical strategies that convert complex, integrated datasets into actionable insights for research, clinical decision support, and precision medicine initiatives
- Evaluate and improve how AI models interpret and reason about genomic and clinical data — identifying gaps, errors, and opportunities for improvement
- Collaborate cross-functionally with clinicians, researchers, and engineering teams to ensure data quality, regulatory alignment, and scientific rigor
- Translate complex data findings into clear, meaningful outputs for both technical and non-technical stakeholders
- Apply domain expertise to assess AI-generated content in healthcare and life sciences contexts for accuracy, relevance, and clinical appropriateness
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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
- Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented and rigorous — you hold data to a high standard and know what good looks like
- Self-directed and reliable when working independently on flexible, asynchronous assignments
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Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation workflows
- Familiarity with bioinformatics tools, EHR systems, or clinical data standards (HL7, FHIR, etc.)
- Background in translational research, computational biology, or clinical informatics
- Experience communicating technical findings to non-specialist audiences
Why Join Us
- Work on cutting-edge AI projects alongside world-leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Contribute directly to how AI understands and advances precision medicine at scale
- Gain exposure to advanced large language models and how they're trained on specialized scientific domains
- Potential for ongoing work and contract extension as new projects launch
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