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? We're looking for a Precision Medicine Data Lead to 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 in genomics, life sciences, or clinical analytics who want to work on something that genuinely matters.
- 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, multi-source datasets into actionable insights for clinical decision support and precision medicine initiatives
- Evaluate and validate the quality, accuracy, and integrity of healthcare and genomic data used in AI training workflows
- Collaborate with clinicians, researchers, and technical teams to ensure data governance and regulatory compliance
- Translate findings and data strategies clearly for both scientific and non-technical stakeholders
- Identify gaps, inconsistencies, and opportunities for improvement across integrated healthcare datasets
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 scientific or clinical audiences
- Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented and systematic — you hold data to a high standard and know how to communicate why it matters
- Self-motivated and reliable when working independently in an asynchronous, remote environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training data workflows
- Familiarity with bioinformatics pipelines, EHR systems, or clinical trial data structures
- Background in translational research, computational biology, or clinical informatics
- Experience working in regulated environments such as HIPAA-compliant or GxP settings
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 AI systems that could reshape how medicine is practiced worldwide
- Exposure to advanced large language models and how they are trained on specialized scientific data
- Potential for ongoing work and contract extension as new projects launch