Precision Medicine Data Lead
Precision Medicine Data Lead (AI Training) About The Role What if your deep 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 bring domain authority to cutting-edge AI projects — guiding how complex healthcare and genomic datasets are integrated, governed, and transformed into insights that matter. This is a fully remote, flexible contract role built for experienced professionals in healthcare data, life sciences, or clinical informatics who want to contribute to something genuinely consequential.
- 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 research, clinical decision support, and precision medicine initiatives
- Evaluate and improve AI-generated outputs in healthcare and life sciences contexts — assessing accuracy, clinical relevance, and scientific soundness
- Collaborate across clinical, research, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
- Communicate findings and recommendations clearly to both scientific and non-technical stakeholders
- Work independently and asynchronously — fully on your own schedule
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 clinical or scientific audiences
- Comfortable navigating cross-functional environments alongside clinicians, researchers, and engineers in regulated or highly technical settings
- Detail-oriented and rigorous — you hold yourself and your work to high scientific and ethical standards
- Self-directed and reliable when working independently without close supervision
Nice to Have
- Prior experience with data annotation, data quality assurance, or evaluation systems
- Familiarity with AI or machine learning applications in healthcare or life sciences
- Background in bioinformatics, clinical informatics, or translational research
- Experience with precision medicine platforms, EHR systems, or genomic data standards (e.g., HL7, FHIR, VCF)
Why Join Us
- Work on cutting-edge AI projects alongside the world's leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Apply your domain expertise to AI development that could reshape how personalized medicine is practiced at scale
- Potential for ongoing work and contract extension as new projects launch