Alignerr
Precision Medicine Data Lead
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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 bring deep healthcare and life sciences knowledge to cutting-edge AI training projects — helping build the foundation for smarter, more accurate medical AI.
This is a fully remote, flexible contract role designed for experienced professionals in genomics, clinical informatics, or life sciences data leadership. Your domain expertise will directly influence how AI systems reason about complex healthcare data.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design, evaluate, and optimize approaches for integrating genomics, clinical records, biomarkers, and other healthcare datasets into unified analytics frameworks
- Lead analytical strategies that convert complex, multi-source datasets into actionable insights for precision medicine and clinical research applications
- Assess and provide structured feedback on AI-generated outputs in healthcare and life sciences contexts — flagging inaccuracies, gaps in clinical reasoning, and areas for improvement
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
- Translate complex genomic and clinical findings into clear, structured evaluations that help AI systems learn from domain expertise
- Work independently and asynchronously on task-based assignments — fully on your own schedule
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Who You Are
- Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics, research, or data leadership roles
- Strong background in data integration, data governance, and translating complex biomedical data into meaningful clinical insights
- Comfortable working cross-functionally across clinical, research, and engineering contexts in regulated or highly technical environments
- Naturally detail-oriented with a rigorous, systematic approach to evaluating data quality and scientific accuracy
- Clear and concise communicator who can document findings and reasoning with precision
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Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation workflows
- Background in bioinformatics, clinical informatics, computational biology, or a related discipline
- Familiarity with EHR systems, genomic platforms, or healthcare data standards (HL7, FHIR, etc.)
- Experience working in or alongside regulated clinical or research environments
- Exposure to large language models or AI tools in a scientific or medical context
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, impactful work
- Apply deep domain expertise to problems at the frontier of AI and healthcare
- Contribute to AI systems that could reshape how personalized medicine is practiced at scale
- Potential for ongoing work and contract extension as new projects launch
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Jessica, London
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