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 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