About the Role
What if your expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine — at a global scale?
We're looking for a Precision Medicine Data Lead to help build and guide the data foundations that power next-generation AI models in healthcare. You'll bring together complex genomic, clinical, and biomarker datasets and transform them into structured, high-quality insights that teach AI how to reason about precision medicine.
This is a fully remote, flexible contract role built for senior professionals who want meaningful, high-impact work without the constraints of a traditional full-time role.
- 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 datasets into unified analytics platforms
- Lead analytical strategies that convert complex, multi-source datasets into actionable insights for research, clinical decision support, and precision medicine applications
- Evaluate and improve how AI models handle healthcare and genomic data — ensuring outputs are accurate, clinically meaningful, and scientifically sound
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, governance, and regulatory alignment
- Translate complex data findings into clear, structured outputs for scientific and clinical stakeholders
- Apply your domain expertise to identify gaps, inconsistencies, and opportunities in AI-generated healthcare content
Who You Are
- Experienced with large-scale healthcare, genomic, or life sciences datasets in analytics, research, or data leadership roles
- Strong foundation 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 with a systematic approach to evaluating data quality and analytical outputs
- Self-directed and reliable — you can manage your own work and deliver consistently without close supervision
Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation systems
- Background in bioinformatics, computational biology, or clinical informatics
- Familiarity with EHR systems, genomic databases, or precision medicine platforms
- Experience in regulated environments such as clinical research, pharma, or health tech
Why Join Us
- Work on cutting-edge AI projects alongside world-leading research labs and AI teams
- Fully remote and flexible — structure your hours around your life, not the other way around
- Freelance autonomy with the substance of genuinely important, high-stakes work
- Direct impact on how AI models understand and reason about precision medicine and genomics
- Exposure to advanced large language models and how they're trained on scientific and clinical data
- Potential for ongoing work and contract extension as new projects launch