Biomedical Data Platform Engineer

University of Oxford; Oxford; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading educational institution in Oxford is seeking a Biomedical Data Platform Engineer to join their Data Management and Infrastructure team. The role involves developing data pipelines, collaborating on spatial visualisation platforms, and ensuring compliance with data protection standards. Candidates should have a relevant Bachelor’s degree and experience with large-scale datasets, alongside proficiency in Python and data engineering practices. This full-time position is a fixed-term contract until October 2027, offering a chance to work in a collaborative environment focused on cutting-edge research.

Qualifications

• Experience with large-scale biological, clinical or imaging datasets.
• Familiarity with cloud computing or HPC environments.
• Good understanding of FAIR data principles.

Responsibilities

• Develop and maintain infrastructure for data ingestion, transformation and delivery.
• Collaborate with platform developers to coordinate backend requirements.
• Ensure compliance with institutional and funder policies.

Skills

Python

Data management principles

Problem-solving skills

Education

Bachelor’s degree in Computer Science, Bioinformatics, Data Engineering, or Biomedical Sciences

Tools

Data pipelines (ETL processes)

Cloud computing environments

Job description

Overview

The Medical Research Council have awarded up to £50M over 14 years for a new Centre of Research Excellence (MRC CoRE) in Exposome Immunology, hosted jointly by the Universities of Manchester and Oxford. We are recruiting for a Biomedical Data Platform Engineer to join the Oxford based team, working within the Data Management and Infrastructure team, with a central role in the secure, FAIR-compliant handling and delivery of large-scale datasets. A particular focus is the Multi-Dimensional Viewer, a spatial bioinformatics platform under development by colleagues in Oxford, which will be used to visualise, analyse, and interact with multi-modal spatial datasets across CoRE research teams.

Responsibilities

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.

Qualifications

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.

Application process

Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.

Contract and deadlines

This position is offered full time on a fixed term contract until 1 October 2027 and is funded by MRC.

Only applications received before 12 midday on 5 January 2026 will be considered. Please quote 182151 on all correspondence.

Interviews will be held in the week commencing 12 January 2026.