Biomedical Data Platform Engineer

You will be responsible for developing and maintaining infrastructure for ingestion, transformation and delivery of multi-modal data to the Oxford Multidimensional Viewer. You will support the visualisation of spatial omics and associated data layers, ensuring platform compatibility and data integrity, and collaborate with platform developers in Oxford to coordinate backend requirements and performance optimisation. Other duties will include ensuring all data processes comply with institutional and funder policies, including GDPR, UKRI and MRC data protection standards, and you will implement and maintain metadata standards, version control, and data provenance tracking. Working closely with Data Scientists and Senior Data Scientists, you will support analytical workflows across transcriptomics, proteomics, microbiome, and imaging data, along with implementing APIs and pipelines that allow research outputs to be seamlessly integrated into visualisation environments.

It is essential that you hold a Bachelor's degree in a relevant discipline (e.g. Computer Science, Bioinformatics, Data Engineering, Biomedical Sciences), alongside experience working with large-scale biological, clinical or imaging datasets and experience building or maintaining data pipelines (e.g. ETL processes). You will be proficient in Python and relevant data engineering libraries and familiar with cloud computing or HPC environments. It is essential you have a good understanding of FAIR data principles and best practices in data management, and strong problem-solving skills and ability to work both independently and in multidisciplinary teams.

£40,722 per year - estimated ? Contract Full time NEW