Bioinformatician
5 months ago
**UE07: £37,099 - £44,263 per annum**
**Clinical Sciences / Institute for Regeneration and Repair / Centre for Inflammation Research**
**Full-time: 35 hours per week**
**Contract Type - Fixed Term dates: 3 years, 10 months**
We are looking for a Bioinformatician to study cellular responses to injury and aging at using single cell and spatial 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 a 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 vitro. 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.
**Click to view a copy of the full **job description **(opens new browser tab)
**As a valued member of our team, you can expect**:
An exciting, positive, creative, challenging and rewarding place to work. We give you support, nurture your talent and reward success. You will benefit from a competitive reward package and a wide range of staff benefits, which includes a generous holiday entitlement, a defined benefits **pension scheme **, **staff discounts, **family friendly initiatives **, flexible working and much more. Access our **staff benefits page **for further information and use our **reward calculator **to find out the total value of pay and benefits provided.
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 **(opens new browser tab)
**Key notes for applicants**
We anticipate that interviews will be held within 2-3 weeks of the advert closing date.
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