About the Role
What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine for patients worldwide? We're looking for a Precision Medicine Data Lead to help guide how complex healthcare 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 data professionals who want to do meaningful work at the frontier of healthcare AI — on their own schedule.
- 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, integrated datasets into actionable insights for precision medicine initiatives and clinical research
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
- Translate findings and data strategies clearly for both technical and non-technical stakeholders
- Apply your domain expertise to help AI systems better understand and reason about healthcare and life sciences 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 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, rigorous, and able to work independently without close supervision
- Clear, concise communicator who can make complex data accessible to diverse audiences
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with bioinformatics tools, EHR systems, or clinical data standards (e.g., HL7, FHIR, OMOP)
- Background in translational research, biomarker analysis, or clinical decision support systems
- Experience working in regulated environments such as clinical trials or FDA-compliant data workflows
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
- Contribute to AI development that could directly improve how personalized medicine is practiced at scale
- Potential for ongoing work and contract extension as new projects launch