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 people? We're looking for a Precision Medicine Data Lead to guide how complex healthcare datasets are integrated, governed, and transformed into the insights that power next-generation clinical research and AI training. This is a fully remote, flexible contract role built for experienced data leaders who know their way around large-scale life sciences data — and want to apply that expertise at the cutting edge 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, multi-modal datasets into actionable insights for precision medicine initiatives and clinical decision support
- Collaborate cross-functionally with clinicians, researchers, and engineering teams to ensure data quality, regulatory alignment, and scientific integrity
- Translate technical findings into clear, meaningful outputs for both scientific and non-technical stakeholders
- Apply your domain expertise to evaluate and improve how AI systems reason about genomic and clinical 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 datasets into meaningful insights for clinical or scientific audiences
- Skilled at 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 how to communicate why that matters
- Self-directed and comfortable working independently in an async, remote setting
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with bioinformatics pipelines, EHR systems, or clinical trial data structures
- Background in translational research, computational biology, or health informatics
- Experience communicating complex findings to non-technical stakeholders
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, high-impact work
- Apply your precision medicine expertise to directly shape how AI understands healthcare
- Potential for ongoing work and contract extension as new projects launch
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