Precision Medicine Data Lead

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

Design and optimize data pipelines that integrate various healthcare datasets into unified analytics platforms. Lead strategies to convert complex datasets into actionable insights for precision medicine and clinical research.

Candidates should have experience with large-scale healthcare or genomic datasets and a strong background in data integration and governance. Familiarity with AI workflows and regulatory frameworks is also preferred.

Identified from the job description. Confirm important requirements above.

• Genomics
• Clinical Data
• Data Integration
• Data Governance
• Analytical Strategies
• Data Quality
• Regulatory Compliance
• Collaboration
• Communication
• AI Model Training
• Bioinformatics
• Translational Research
• Clinical Informatics
• Data Annotation
• Data Quality Assessment

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

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level