Dewislen

12788 - Bioinformatician for Bacterial Genome Data Analysis

Manylion swydd
Dyddiad hysbysebu: 17 Gorffennaf 2025
Cyflog: £40,497 i £48,149 bob blwyddyn
Oriau: Llawn Amser
Dyddiad cau: 31 Gorffennaf 2025
Lleoliad: EH25 9RG
Gweithio o bell: Hybrid - gweithio o bell hyd at 3 ddiwrnod yr wythnos
Cwmni: University of Edinburgh
Math o swydd: Dros dro
Cyfeirnod swydd: 12788

Gwneud cais am y swydd hon

Crynodeb

Grade UE07: £40,497 - £48,149 per annum (pro rata if part-time)

CMVM / Royal (Dick) School of Veterinary Studies / The Roslin Institute

Full-time: 35 hours per week

Fixed-term: 31st March 2026



The Opportunity:

We are seeking a bioinformatics scientist to join our research group at the Roslin Institute and help analyse genome sequences from a large collection of E. coli strains carrying Shiga toxin genes. The candidate will be applying their bioinformatics expertise to a range of projects, including phylogenetics, statistical analyses, and machine learning approaches that link genotype, primarily genome sequence data, to phenotype. A key focus will be developing models to predict the potential threat of various strains to human health.

The successful applicant will collaborate closely with another bioinformatician who has been building machine learning pipelines for source attribution. This post will further develop and apply these tools to our sequenced STEC dataset. The role will also involve setting up a server for the group and contributing to other machine learning projects, particularly those related to predicting bacteriophage activity.



Although the initial funding is until 31st March 2026, additional grants and pending applications may allow for an extension of the contract.


This post is 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.



Your skills and attributes for success:

Degree in a biological science, maths or computing subject area and a Ph.D obtained or submitted (awaiting viva) in a relevant biological science with bioinformatic component.
Experience working with high performance computing (HPC) with large data sets is essential.
Experience with pipelines for genomic sequence analysis from raw reads.
Relevant experience with Python/R.
Evidence of manuscript and/or report writing.

Gwneud cais am y swydd hon