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 help guide how complex healthcare datasets are integrated, governed, and transformed into the insights that power next-generation AI models in clinical research and personalized treatment.
This is a fully remote, flexible contract role built for experienced data professionals with a background in life sciences, genomics, or healthcare analytics. If you've spent your career making sense of large-scale biological and clinical datasets — this is your opportunity to bring that expertise to the frontier of AI development.
- 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 findings and data strategies clearly to both technical and non-technical stakeholders
- Apply domain expertise to evaluate and improve how AI models interpret and reason over healthcare and genomic data
- 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 and data governance across clinical or research environments
- Skilled at translating complex data into meaningful insights for scientific, clinical, or executive audiences
- Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical settings
- Detail-oriented with a systematic, rigorous approach to data quality and integrity
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with bioinformatics pipelines, EHR systems, or multi-omics data platforms
- Background in precision oncology, pharmacogenomics, or clinical trial data management
- Experience working in regulated environments such as HIPAA, GDPR, or FDA-governed research settings
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and AI development teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Apply deep domain expertise to problems at the intersection of genomics, clinical medicine, and artificial intelligence
- Contribute to AI systems that could meaningfully advance how personalized medicine is understood and delivered
- Potential for ongoing work and contract extension as new projects launch