Bioinformatician

About the role

This role is based in Radcliffe Department of Medicine and the role reports to Professor James Chalmers (Rhodes Professor of Experimental Therapeutics and Clinical Pharmacology).

Prof. James Chalmers at the University of Oxford specialises in translational and clinical research on respiratory diseases, including bronchiectasis, COPD and pneumonia, with a focus on immunology, infection, mucociliary clearance, disease mechanisms and therapeutic strategies.

As a bioinformatician, you will work within a multidisciplinary team of researchers, medical professionals, study coordinators and collaborators on projects with direct patient impact. You will support bioinformatics analyses across multiple translational clinical trial and research projects, embedded within studies led by the PI and researchers within the team, national and international collaborators, and members of the EMBARC consortium (https://www.bronchiectasis.net/bridge/).

The postholder will primarily provide bioinformatics expertise, training and analytical support across a portfolio of projects led by the Principal Investigator, research staff, students and collaborators. Data types include human and bacterial whole genome sequencing, metagenomics, metatranscriptomics, proteomics, 16S sequencing, transcriptomics and epigenetics. Experience in integrated multi-omic analysis and patient-based data, including dealing with missing data, is essential.

You will maintain up-to-date knowledge of analytical methods, demonstrate awareness of their limitations and assumptions, and ensure high standards of quality and accuracy in all outputs. You will also contribute to methodological innovation and support adoption of new tools and technologies within the group.

This post is full-time and fixed term for 2 years

The post is only available as full-time on-site.

About You

To be considered for this position you should;

• Hold a relevant PhD/DPhil (or near to completion) or equivalent experience in bioinformatics, computational biology, or a related field
• Proven experience analysing and integrating multi-omics datasets, such as human whole genome sequencing, metagenomics, proteomics, transcriptomics and/or epigenetic data
• Strong programming skills in at least one language (e.g. R or Python) and experience working in a command-line/Linux environment
• Experience using statistical methods for biological and clinical data analysis, including handling confounding, batch effects, and multiple testing
• Ability to interpret complex raw biological data, perform statistical analyses, and communicate results clearly through reports and presentations
• Demonstrated experience working with sensitive human genomic and/or clinical data in accordance with data governance, ethical approval, and information security requirements, including secure and reproducible data handling
• Experience with reproducible and version-controlled analysis workflows (e.g. Git and/or workflow management systems such as Nextflow or Snakemake)
• Ability to work collaboratively across multiple concurrent projects, including with students and postdoctoral researchers, and to manage competing priorities and deadlines

About the Radcliffe Department of Medicine (RDM) 

The Radcliffe Department of Medicine (RDM) within the Medical Sciences Division is one of the largest departments in the University of Oxford.

Benefits of working 

As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including:

• An excellent contributory pension scheme
• 38 days annual leave
• A comprehensive range of childcare services
• Family leave schemes
• Discounted bus travel and Season Ticket travel loans

Application Process 

Applications for this vacancy are to be made online via the ‘Apply’ button above. You will be required to upload a supporting statement and CV as part of your online application.

Only applications received before 12:00 midday on Monday 17/08/2026 will be considered. Interviews will be held as soon as possible thereafter.

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