Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; Chicago (IL); Remote; USD 83,000 - 131,000; Part time

Job summary

Alignerr Corp. is seeking a Precision Medicine Data Lead to orchestrate data pipelines that merge genomics, clinical records, and biomarkers. You will guide analytical strategy and ensure AI training data quality, driving insights for precision medicine research and clinical decision support.

The role emphasizes collaboration with clinicians and researchers, rigorous data governance, and the ability to translate complex life sciences data into actionable intelligence for advanced AI systems.

Qualifications

• Experience with large-scale healthcare, genomic, or life sciences datasets in analytics, research, or data leadership roles.
• Ability to integrate genomics, clinical records, biomarkers into unified analytics platforms.
• Comfort working in regulated or highly technical environments and collaborating with clinical/research teams.

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 convert complex, integrated datasets into actionable insights for precision medicine research and clinical decision support
• Evaluate and validate AI-generated outputs related to healthcare and genomic data for accuracy, clinical relevance, and scientific soundness
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
• Communicate findings and recommendations clearly to both scientific and non-technical stakeholders
• Apply domain expertise to improve how AI models handle, interpret, and reason over life sciences data

Skills

Data leadership

Healthcare datasets

Genomics data

Analytics

Job description

Alignerr Corp. is seeking a Precision Medicine Data Lead to orchestrate data pipelines that merge genomics, clinical records, and biomarkers. You will guide analytical strategy and ensure AI training data quality, driving insights for precision medicine research and clinical decision support.

The role emphasizes collaboration with clinicians and researchers, rigorous data governance, and the ability to translate complex life sciences data into actionable intelligence for advanced AI systems.