Senior Postdoctoral Researcher - Computational Biology

We are seeking a highly motivated, a postdoctoral researcher in computational biology. We investigate how immune cells interact with their environment in the human gastrointestinal tract, how immunity develops in early life, and how it goes awry in devastating inflammatory diseases such as necrotising enterocolitis and inflammatory bowel disease.

 

Spatial ‘omics and single cell technologies have exploded in recent years, generating multi-dimensional data from millions of cells and thousands of molecular features. Understanding these data and harnessing their insights remains an ongoing challenge.

 

We seek a senior computational biologist to apply these extensive in-house datasets toward the development of novel, domain-tailored machine-learning models and analytical methods. You will explore cellular interactions in tissue, better understand and model the mechanisms driving inflammation and aging, and capture spatio-temporal dynamics in development, all with the aim of uncovering new biology, informing experimental design and ultimately suggesting interventions to improve patient outcomes.

 

You will join a computational biology team that collaborates closely with clinicians, molecular biologists and other experts to generate and interpret data from real patient cohorts, ensuring your work can translate into tangible impacts on patient care.

 

As a senior member of the group, you will co-supervise graduate students and junior researchers, contribute to ongoing projects, and have the freedom to pursue independent research directions that align with our broader aims of the group. You will also help shape grant applications, present your work at conferences and foster integration between computational and experimental efforts across the lab.

 

This post is fixed term for 3 years.

 

https://www.rdm.ox.ac.uk/research/antanaviciute-group-computational-biology-and-tissue-immunology

 

 

You should possess a Ph.D. (or equivalent) in Computer Science, Computational Biology, Bioinformatics, or a closely related discipline and have begun to establish a strong research profile, evidenced by a strong, well-cited publication record. Proficient in Python, R, BASH and/or other relevant programming languages, you are comfortable navigating complex HPC environments and wrangling large datasets. You have experience with modelling through state-of-the-art machine and deep-learning methods and with hands-on experience in at least one of single-cell or spatial omics, imaging, or other high-dimensional biological data types. You interrogate existing literature critically, design rigorous experiments and deliver reproducible code and results. A clear, concise communicator, you thrive in multidisciplinary teams, mentor junior scientists and manage projects autonomously while remaining open to constructive scepticism and iterative refinement.

 

While the ideal candidate for this post would have postdoctoral research experience, an alternative appointment with reduced responsibilities could be considered for less experienced but highly motivated applicants.

Candidates who do not fully meet the requirements for a Grade 8 post may be appointed at Grade 7: £38,674 - £46,913 per annum with adjusted responsibilities.

 

 

University employees enjoy 38 days’ paid holiday, generous pension schemes, travel discounts, and a variety of professional development opportunities. Our range of other employee benefits and discounts also includes free entry to the Botanic Gardens and University colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits

 

 

Applications for this vacancy are to be made online. 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 Friday 13/06/2025 will be considered.

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