Teams at Genomics

Ingest, transform, harmonise and quality-control large genomic datasets (GWAS, genotypes, phenotypes). Configure pipelines, interpret QC diagnostics, investigate anomalies, curate metadata, and collaborate with engineering and science teams to expand genomic data resources and schemas.

The role involves content creation, PR support, event coordination, and campaign execution in the life sciences and health technology fields.

The Scientist drives innovation in genomic analytics, focusing on polygenic risk scores and targeted therapeutics, utilizing statistical techniques for data analysis.