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 has 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's 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
1. BSc in a discipline relevant to the project
2. Experience with the analysis of large biological datasets
3. Excellent communication skills including presentation and data visualization skills
4. Ability to work successfully independently and as part of a team
5. Organised and systematic approach to research
Desirable criteria
1. MSc in bioinformatics or related computational discipline
2. Experience with analysing complex datasets on high-performance compute clusters
3. Experience in scripting in BASH and either R or Python
4. Understanding of the genetic or immune basis of human disease
5. Experience with cell culture and/or flow cytometry
Application Process
We ask all candidates to submit a copy of their CV and a supporting statement detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
This post is subject to Occupational Health clearances. #J-18808-Ljbffr