Job Description

Grade UE07: 41,064 - 48,822

per annum (pro rata if part time)

Clinical Sciences / Institute for Regeneration and Repair / Centre for Inflammation Research

Full-time: 35 hours per week

Fixed Term: 3 years

We are looking for a Bioinformatician to study cellular responses to injury and ageing using integrated single-cell, spatial and proteomic technologies. The post will be based in the Centre for Inflammation Research, Institute for Regeneration and Repair, University of Edinburgh with Professor David Ferenbach.



This post is advertised as full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.

The Opportunity:

This fellowship forms part of an MRC-funded Senior Clinical Fellowship, based in the Institute for Regeneration and Repair - home to over 1000 research staff and students. Its focus is on the identification of novel pathways linking senescent epithelia to tissue fibrosis in human chronic kidney disease. The post holder will lead the computational identification and analysis of these pathways using spatial transcriptomic analysis of human kidney biopsies, and single-cell resolution analysis of renal cell populations obtained ex vivo / in vit ro. Further work will explore the potential for these pathways to be targeted in vivo to promote senescent cell clearance and prevent senescent cell accumulation with ageing and tissue injury.

Your skills and attributes for success:

A PhD, or near completion, in Mathematics, Physics, Computational Science, Genomics, Genetics, Computational Biology (or similar), and a passion for problem solving. Understanding of single cell transcriptome and/or genome data analysis. Proficiency in analysing NGS sequencing data and (RNA-seq, ATAC-seq, Chip-seq, single cell) An understanding, experience and published outcomes from analysing and interpreting large datasets using at least one statistical package (e.g. R/SPLUS, SAS) and proficiency with scripting languages (R/Python) and Linux/Bash Experience in the analysis of high-throughput biological datasets.

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As part of this application, you are required to submit a document of no more than one page detailing how you meet each of the essential criteria as outlined on the job description.

As a valued member of our team you can expect:

A competitive salary An exciting, positive, creative, challenging and rewarding place to work. To be part of a diverse and vibrant international community Comprehensive Staff Benefits, such as a generous holiday entitlement, competitive pension schemes, staff discounts, and family-friendly initiatives. Check out the full list on our

staff benefits page

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Championing equality, diversity and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.


Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our

right to work webpages

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The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant. Please note if the role is offered on a part-time basis, it may result in sponsorship being dependant on a number of factors specific to the successful applicant or the role no longer meeting the Home Office's criteria for sponsorship.

Key dates to note

The closing date for applications is

24 September 2025.

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.





We anticipate that interviews will be held within 2-3 weeks of the advert closing date.