Research Fellow in Computational Biology

University of Southampton
Location
Highfield Campus, Southampton, UK
Job Type
Full-time
Posted
July 31, 2026
Views
3
Salary Range
$37k - $37k GBP

Job Description

We are seeking an outstanding computational biologist to join the BioFAIR Pathfinder project to develop a computational framework for gene regulatory network (GRN) inference methods in single-cell genomics.

The project involves curating and harmonising single-cell and multimodal datasets, and containerising, running, and comparing GRN inference tools as a community resource. The role includes contributing to peer-reviewed publications and developing community, training, and engagement opportunities with BioFAIR and the ELIXIR-UK Southampton node.

You will join the collaborative interdisciplinary environment within the School of Biological Sciences, working alongside a growing computational genomics community at Southampton. You will have access to IRIDIS HPC, with support from RSEs, and also collaborate nationally through the BioFAIR project and ELIXIR-UK Southampton Node.

About you

You will have a quantitative or RSE (research software engineering) background and an interest in applying computational and data-driven methods to single-cell genomics and gene regulation. We are looking for someone who can work confidently with large and varied single-cell datasets, and who enjoys developing, benchmarking, and testing new analytical approaches.

Experience in single-cell bioinformatics, containerisation, and workflow development will be critical to the role, and we are interested in your ability to think clearly, learn new methods, and work well with others. The Pathfinder project has a community engagement aspect and will require someone who is comfortable engaging with researchers from different disciplines and institutions across the UK and the FAIR data community.

Alongside the project, the role comes with benefits such as a generous holiday allowance and additional university closure days. As a university employee, you will have access to the Universities Superannuation Scheme (USS), subsidised health and fitness facilities, and a range of discounts.

This post is offered on a fixed-term basis for 12 months. Location: Highfield Campus. Closing date: Thursday 27 August 2026. Reference 3470226BJ.

For additional information or informal enquiries before submitting your application, please contact knn1y25@soton.ac.uk.

Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
The job is located on-site at the Highfield Campus, Southampton, UK.
What are the key responsibilities of this role?
You will develop a computational framework for gene regulatory network (GRN) inference methods, curate and harmonise single-cell and multimodal datasets, containerise and compare GRN tools, contribute to peer-reviewed publications, and develop community, training, and engagement opportunities.
What qualifications and experience are required?
You need a quantitative or research software engineering (RSE) background, plus experience in single-cell bioinformatics, containerisation, and workflow development. You must be able to work with large single-cell datasets, test new analytical approaches, and engage with researchers across different disciplines.
What benefits does the University of Southampton offer for this position?
Benefits include a generous holiday allowance, additional university closure days, access to the Universities Superannuation Scheme (USS) pension, subsidised health and fitness facilities, and a range of discounts.
What is the application deadline and how can I ask questions?
The closing date for applications is Thursday 27 August 2026 (Reference 3470226BJ). For informal enquiries before applying, you can contact knn1y25@soton.ac.uk.

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Job Information

Source: manual
AI Relevance: 95/100 (Highly relevant)
Remote Type: onsite
Experience: Mid
Allowed Locations: Worldwide
Skills & Tags:
computational biology single-cell genomics bioinformatics gene regulatory networks workflow development containerisation HPC FAIR data postdoc

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