Genomics Data Operations Engineer

In this Data Engineer role you turn large genomic datasets into trusted, analysis-ready resources. You will focus on data transformation, harmonisation and quality control within an end-to-end data journey. You collaborate with science and product teams to shape schemas for new data types and grow our genomic data resource. This is an intersection of data engineering, data modelling and genetics with real opportunities to work technically and scientifically. You will contribute to high-impact projects that power drug discovery and predictive health analytics.

• competitive salary
• clear career path
• continuous learning
• 25 days annual leave plus bank holidays
• market-leading pension scheme
• private health insurance for you and your family

• Ingest large-scale genetic and genomic datasets (GWAS statistics, genotype and phenotype data) using scripts and automated pipelines
• Interpret QC metrics and diagnostic plots to resolve data-quality issues with scientific judgement
• Curate dataset metadata and configure workflow parameters to ensure data is fit for scientific use
• Collaborate with software engineers to diagnose pipeline issues and improve ingestion and QC processes
• Contribute to schema design for new data types and expand the genomic data resource alongside science and product teams

• Hands-on experience in human statistical genetics with GWAS statistics and/or large-scale genotype/phenotype data
• Proficient in Python and Unix/Linux
• Ability to read complex data-quality outputs and resolve issues using scientific judgement
• Well-organised with ability to plan, prioritise and deliver across competing tasks
• Strong communicator across multi-disciplinary teams and autonomously
• Bachelor in bioinformatics, computational biology, or human genetics, or equivalent experience

• strong communication
• well-organised and task-focused
• collaborative across cross-functional teams
• Python
• Unix/Linux
• data ingestion and pipeline automation