Bioinformatics Pipeline and Data Manager

We are seeking to appoint a Bioinformatics Pipeline and Data Manager to join the Multiomics Technology Platforms (MTP) headed by Dr Paolo Piazza in the Centre for Human Genetics, University of Oxford. You will play a key role in managing, developing and maintaining the computational infrastructure supporting a range of cutting-edge multiomic technologies, including next-generation sequencing, spatial transcriptomics and proteomics.


You will be responsible for processing raw data generated across MTP platforms and converting it into formats suitable for downstream analysis and delivery to collaborators. You will develop, maintain and optimise automated bioinformatics pipelines, integrating new tools and technologies where appropriate, and ensure that data management, storage, transfer and archival are performed securely and in accordance with institutional policies. You will perform and interpret quality control analyses, generate clear QC reports, maintain accurate technical documentation and SOPs, and collaborate closely with wet lab scientists, bioinformaticians and project managers to support project delivery. The role will also involve providing technical advice and troubleshooting support, contributing to scientific outputs such as publications and grant applications, and engaging in relevant training and public engagement activities within the Department and University.


It is essential that you hold an MSc degree or equivalent in Human Genetics, Bioinformatics or a closely related field, together with proficiency in Unix and experience working within a high-performance computing (HPC) environment. You will have proven experience building and maintaining automated workflows and pipelines (for example using Snakemake, Nextflow or equivalent tools), alongside demonstrable knowledge of genomics, next-generation sequencing and/or multiomics technologies. Experience with Python, R or related scripting languages, previous work with multiomic datasets, and familiarity with data portals or LIMS integration would be advantageous.


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.
This position is offered full time on a fixed term contract for 12 months and is funded by the department.


Only applications received before 12 midday on Thursday 16 July 2026 will be considered. Please quote 184916 on all correspondence.