Remote Precision Medicine Data Lead

Alignerr Corp.; Remote; GBP 100,000 - 125,000; Part time

Job summary

A leading AI solutions provider in the United Kingdom is seeking a Precision Medicine Data Lead to oversee the integration of complex healthcare and genomic data into actionable insights. This role allows for remote work and offers a competitive pay range of $40-$80 per hour. You will collaborate with technical teams and researchers to ensure data quality and compliance while leading innovative projects in precision medicine. Ideal candidates should have experience in healthcare datasets and data governance.

Benefits

Competitive pay

Flexible remote work

Exposure to advanced LLMs

Freelance autonomy

Qualifications

• Experience 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.
• Ability to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments.

Responsibilities

• Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms.
• Lead analytical strategies that convert integrated datasets into actionable insights for research and clinical decision support.
• Collaborate with clinicians, researchers, and technical teams to ensure data quality and regulatory compliance.

Skills

Data integration

Data governance

Healthcare datasets

Cross-functional collaboration

Job description

A leading AI solutions provider in the United Kingdom is seeking a Precision Medicine Data Lead to oversee the integration of complex healthcare and genomic data into actionable insights. This role allows for remote work and offers a competitive pay range of $40-$80 per hour. You will collaborate with technical teams and researchers to ensure data quality and compliance while leading innovative projects in precision medicine. Ideal candidates should have experience in healthcare datasets and data governance.