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 patients worldwide? We're looking for a Precision Medicine Data Lead to guide the integration, governance, and transformation of complex healthcare datasets into insights that power cutting-edge AI models and clinical research.
This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences analytics. If you've spent your career making sense of complex biological and clinical data — this is your opportunity to apply that knowledge at the frontier of AI.
- 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, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support
- Evaluate and validate AI-generated outputs in healthcare and genomics contexts — ensuring scientific accuracy, clinical relevance, and data integrity
- Collaborate cross-functionally with clinicians, researchers, and technical teams to align data strategy with research goals
- Ensure data quality, regulatory compliance, and clear communication of findings to both scientific and non-technical stakeholders
- Apply domain expertise to help train, evaluate, and improve AI models operating in precision medicine and healthcare analytics
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 biological or clinical data into meaningful insights
- Comfortable 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 when something doesn't add up
- Self-motivated and reliable when working independently in an async, remote setting
Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation systems
- Familiarity with bioinformatics tools, EHR systems, or clinical data standards (HL7, FHIR, etc.)
- Background in translational research, clinical trials, or precision oncology
- Experience communicating complex findings to non-technical stakeholders
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Directly shape how AI understands and advances precision medicine and genomics
- Gain exposure to advanced large language models and how they are trained on scientific data
- Potential for ongoing work and contract extension as new projects launch