Research Assistant in Bioinformatics

About Us

The post will be based in the Department of Medical and Molecular Genetics and the St John's Institute of Dermatology at King's College London at the Guy's Campus in London Bridge. The multidisciplinary translational research group have expertise in genomics, immunology and dermatology.  

About the role

An exciting opportunity has arisen to work on a NIHR-funded project investigating the molecular pathogenesis of atopic dermatitis (eczema). The study, which is part of a collaborative translational research programme between King’s College London (Dr Satveer Mahil, Prof. Francesca Capon, Prof Catherine Smith) and the Wellcome Sanger Institute (Prof Muzlifah Haniffa), seeks to identify new pathogenic pathways and mechanisms of drug action and outcomes through the analysis of large multiomic datasets. It leverages multiomic data generated from longitudinal skin and blood samples from unique cohorts of individuals receiving targeted immunomodulators as part of large-scale clinical trials in atopic dermatitis.

The post-holder will join a well-established multidisciplinary team that has already identified key immune abnormalities contributing to skin inflammation. As the group is generating larger datasets, the post-holder will undertake the analysis of information-rich single cell multiomic datasets. For individuals with a wet-lab background, there will also be scope to undertake follow-up experiments in the College state-of-the-art imaging and flow-cytometry facilities.

This post represents an exceptional opportunity for career development within a highly supportive environment. Candidates must have a BSc (or ideally MSc) in bioinformatics, or equivalent computational experience. While this is a full-time post, requests for flexible working will be considered.

This is a full time post (35 hours per week), and you will be offered a fixed term contract until 2nd February 2026.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

• BSc in a discipline relevant to the project
• Experience with the analysis of large biological datasets
• Excellent communication skills including presentation and data visualization skills
• Ability to work successfully independently and as part of a team
• Organised and systematic approach to research

Desirable criteria

• MSc in bioinformatics or related computational discipline
• Experience with analysing complex datasets on high-performance compute clusters
• Experience in scripting in BASH and either R or Python
• Understanding of the genetic or immune basis of human disease
• Experience with cell culture and/or flow cytometry

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

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