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 data is integrated, governed, and transformed into actionable insights — powering the next generation of AI-driven clinical research.
This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the cutting edge of AI and precision medicine.
- 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 decision support
- Collaborate with clinicians, researchers, and engineering teams to ensure data quality, regulatory compliance, and alignment between data strategy and research goals
- Clearly communicate findings and recommendations to both technical and non-technical stakeholders
- Help shape how AI systems understand and reason about advanced 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 and rigorous — you understand the stakes when data quality directly influences healthcare decisions
- Self-motivated and reliable when working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Familiarity with bioinformatics tools, EHR systems, or clinical data standards (HL7, FHIR, etc.)
- Background in translational research, computational biology, or clinical informatics
- Experience communicating complex data findings to non-technical stakeholders
Why Join Us
- Work alongside world-leading AI research teams on genuinely cutting-edge projects
- Fully remote and flexible — structure your work around your schedule
- Freelance autonomy with the substance of meaningful, high-impact work
- Gain direct exposure to how advanced AI models are trained on complex scientific data
- Contribute to AI development that has real consequences for the future of healthcare
- Potential for ongoing work and contract extension as new projects launch