Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; City of Edinburgh; Remoto; GBP 83.000 - 124.000; Tempo parcial

Benefícios oferecidos por esta vaga

Resumo da vaga

Alignerr is seeking a Precision Medicine Data Lead to shape AI training using genomic and clinical data at scale. This remote, hourly contract role invites experts in genomics, clinical informatics, or life sciences data leadership to design integrated analytics approaches for healthcare datasets.

You will lead data integration, governance, and evaluation of AI outputs, working with clinicians and researchers to ensure regulatory alignment and scientific rigor while delivering clear, data-driven

Qualificações

• Experience with large-scale healthcare, genomic, or life sciences datasets in analytics, research, or data leadership roles.
• Strong data integration and governance capabilities for biomedical data.
• Familiarity with regulatory alignment and data quality practices in healthcare.

Responsabilidades

• Design, evaluate, and optimize approaches for integrating genomics, clinical records, biomarkers, and other datasets into unified analytics frameworks.
• Lead analytical strategies that convert multi-source data into actionable insights for precision medicine and clinical research.
• Assess AI-generated outputs for accuracy and clinical relevance; provide structured feedback.

Conhecimentos

Large-scale healthcare data

Genomics data

Data governance

Clinical informatics

Regulatory alignment

Data integration

Data quality

Ferramentas

HL7/FHIR

Descrição da vaga

Alignerr is seeking a Precision Medicine Data Lead to shape AI training using genomic and clinical data at scale. This remote, hourly contract role invites experts in genomics, clinical informatics, or life sciences data leadership to design integrated analytics approaches for healthcare datasets.

You will lead data integration, governance, and evaluation of AI outputs, working with clinicians and researchers to ensure regulatory alignment and scientific rigor while delivering clear, data-driven