Genomics Data Scientist - Reproducible Pipelines & AI/ML
Summary
A PhD researcher role at Universidade de Vigo designing reproducible pipelines for omics data (genomics, transcriptomics, proteomics) covering preprocessing, QC, normalization, annotation and integration, and applying statistics and AI/ML methods to genomic surveillance, antimicrobial resistance and One Health projects.
Universidade de Vigo seeks a PhD researcher to design and implement reproducible pipelines for omics data, including genomics, transcriptomics and proteomics. The role covers data preprocessing, QC, normalization, annotation and integration, with emphasis on reproducible notebooks, scripts and workflows.
The successful candidate will contribute to genomic surveillance, antimicrobial resistance and One Health projects, applying stats and AI/ML methods and supporting WP3–WP5 and WP7 with training