Bioinformatician for Bacterial Genome Data Analysis
Bioinformatician for Bacterial Genome Data Analysis
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Job Description
Grade UE07: 40497 - 48149 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 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.
Click to view a copy of the full job description(opens new browser tab)
Application Information
Please ensure you include the following documents in your application:
- CV
- Cover letter
As a valued member of our team you can expect:
- A competitive salary.
- Working as part of an interdisciplinary team including lab scientists and bioinformaticians.
- 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 ourstaff benefits page(opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits
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 ourright to work webpages(opens new browser tab)
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.
Key dates to note
The closing date for applications is 31st July 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.
Employment Type
Full-Time
