Precision Medicine Data Lead

About the Role

What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine? We're looking for a Precision Medicine Data Lead to help build and refine the data foundations that power cutting-edge healthcare AI — translating complex, large-scale biological and clinical datasets into insights that matter. This is a fully remote, flexible contract role for an experienced professional with a strong background in healthcare data, genomics, or life sciences analytics.

Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week

Responsibilities

• Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms
• Lead analytical strategies that transform integrated datasets into actionable insights for precision medicine research and clinical decision support
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
• Translate complex findings into clear, meaningful outputs for both technical and non-technical stakeholders
• Apply data governance best practices to maintain compliance and integrity across sensitive healthcare datasets
• Evaluate and improve AI-generated outputs in the context of genomic and clinical data workflows

Requirements

• Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles
• Deep background in data integration, data governance, and translating complex data into actionable scientific or clinical insights
• Comfortable operating cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Strong written communicator who can convey technical findings to diverse audiences
• Detail-oriented and rigorous — you hold data to a high standard

Nice to Have

• Prior experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with AI or machine learning workflows applied to healthcare or life sciences
• Background in bioinformatics, clinical informatics, or translational research
• Experience in regulated environments such as HIPAA-compliant or GxP settings

Benefits

• 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
• Contribute directly to AI systems that could shape the future of personalized medicine
• Potential for ongoing work and contract extension as new projects launch