Precision Medicine Data Lead

Original job posting

Design and optimize data pipelines integrating genomics and clinical records to power AI systems for personalized medicine. Lead analytical strategies to convert complex healthcare datasets into actionable insights for clinical research and decision support.

Job details

Precision Medicine Data Lead (AI Training) About The Role What if your expertise in genomics 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 guide the integration, governance, and transformation of complex healthcare datasets — helping build AI systems that power the next generation of clinical decision-making and biomedical research. This is a fully remote, flexible contract role built for experienced professionals in healthcare data, genomics, or life sciences analytics who want to apply their expertise at 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 datasets into unified analytics platforms Lead analytical strategies that convert complex, integrated datasets into actionable insights for precision medicine initiatives, clinical research, and decision support systems Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and strategic alignment Communicate findings and recommendations clearly to both scientific and non-technical stakeholders Evaluate and improve the quality of AI-generated outputs in healthcare and life sciences contexts 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, rigorous, and confident navigating the intersection of science, data, and AI Nice to Have Prior experience with data annotation, data quality assessment, or evaluation systems Familiarity with AI model training workflows or AI-assisted clinical tools Background in bioinformatics, translational research, or clinical informatics Experience with regulatory frameworks such as HIPAA or GDPR in data contexts Why Join Us 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 Apply deep domain expertise to problems that sit at the frontier of AI and healthcare Potential for ongoing work and contract extension as new projects launch

What you’ll do

Design and optimize data pipelines integrating genomics and clinical records to power AI systems for personalized medicine. Lead analytical strategies to convert complex healthcare datasets into actionable insights for clinical research and decision support.

Requirements

Requires extensive experience in healthcare, genomic, or life sciences data leadership with a strong background in data integration and governance. Candidates must be comfortable working cross-functionally in regulated technical environments at the intersection of science and AI.

Listed skills

• Regulatory Compliance · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Genomics
• Clinical Data Integration
• Data Governance
• Precision Medicine
• AI Model Training
• Bioinformatics
• Clinical Informatics
• Data Pipeline Optimization
• Regulatory Compliance
• Healthcare Analytics
• Data Annotation
• Translational Research

Job areas

• Data & Analytics
• Healthcare
• Science & Research
• Technology
• Management & Leadership