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? We're looking for a Precision Medicine Data Lead to help guide the integration of complex healthcare datasets into meaningful insights — powering the next generation of AI models built for clinical research and personalized treatment.
This is a fully remote, flexible contract role. If you have deep experience working with large-scale genomic, clinical, or life sciences data and know how to turn complexity into clarity, we want to hear from you.
- 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 convert complex, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
- Communicate results clearly to diverse stakeholders — from research teams to technical leads
- Ensure data governance standards are upheld across all integration and analytics workflows
- Evaluate and improve how AI systems handle healthcare and genomic data at scale
Who You Are
- Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles
- Skilled in data integration, data governance, and translating complex scientific data into meaningful insights
- Comfortable collaborating cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented, methodical, and rigorous in your approach to data quality and scientific accuracy
- A clear communicator who can bridge the gap between technical data systems and clinical or research audiences
Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation systems
- Familiarity with precision medicine frameworks, EHR systems, or biomarker research
- Background in bioinformatics, computational biology, or clinical informatics
- Experience working with or evaluating AI and machine learning systems in healthcare contexts
Why Join Us
- Work alongside world-leading AI research teams on cutting-edge healthcare AI projects
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the substance of genuinely impactful, mission-driven work
- Gain direct exposure to how advanced large language models are trained and evaluated in scientific domains
- Potential for ongoing work and contract extension as new projects launch