Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; Charlotte (AR); Remote; USD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking a Precision Medicine Data Lead for AI training to guide integration of genomics and clinical data into actionable insights for precision medicine research. The role is remote and contract-based, with 10–40 hours/week, targeting experienced data professionals at the intersection of AI and life sciences.

You will design pipelines, lead analytics strategies, and collaborate across clinical, research, and engineering teams to ensure data quality and regulatory alignment, enabling

Qualifications

• Experience with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles.
• Strong background in data integration, governance, and translating complex data into insights for scientific audiences.
• Experience working in regulated environments with healthcare data compliance and research ethics.

Responsibilities

• Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms.
• Lead analytical strategies to transform complex datasets into actionable insights for precision medicine research and clinical decision support.
• Collaborate with clinicians, researchers, and engineering teams to ensure data quality, regulatory alignment, and strategic coherence.
• Communicate findings and data narratives clearly to technical and non-technical stakeholders.
• Apply expertise to evaluate and improve how AI systems handle healthcare and genomic data, ensuring outputs are accurate and clinically meaningful.

Skills

Data integration

Data governance

Healthcare analytics

Cross-functional collaboration

Job description

Alignerr is seeking a Precision Medicine Data Lead for AI training to guide integration of genomics and clinical data into actionable insights for precision medicine research. The role is remote and contract-based, with 10–40 hours/week, targeting experienced data professionals at the intersection of AI and life sciences.

You will design pipelines, lead analytics strategies, and collaborate across clinical, research, and engineering teams to ensure data quality and regulatory alignment, enabling