Precision Medicine Data Lead
Precision Medicine Data Lead (AI Training) About The Role What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine for patients around the world? We're looking for a Precision Medicine Data Lead to bring together complex healthcare datasets, drive analytical strategy, and help train AI systems that are pushing the boundaries of what's possible in clinical research and treatment. This is a fully remote, flexible contract role built for experienced professionals in genomics, life sciences, or healthcare data — people who understand how to make complex data meaningful.
- 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 research and clinical decision support
- Evaluate and validate AI-generated outputs related to healthcare and genomic data for accuracy, clinical relevance, and scientific soundness
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
- Communicate findings and recommendations clearly to both scientific and non-technical stakeholders
- Apply domain expertise to improve how AI models handle, interpret, and reason over life sciences data
Who You Are
- Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics, research, or data leadership roles
- Strong background in data integration, data governance, and translating complex datasets into meaningful clinical or scientific 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 asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Background in bioinformatics, computational biology, or clinical informatics
- Familiarity with regulatory frameworks governing healthcare data (HIPAA, GDPR, etc.)
- Experience translating genomic research findings for non-specialist audiences
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 directly to how AI understands and advances precision medicine
- Gain exposure to advanced large language models and how they're trained on complex scientific domains
- Potential for ongoing work and contract extension as new projects launch