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Research Assistant – Bioinformatician

The University of Edinburgh - College of Medicine and Veterinary Medicine, Edinburgh Medical School: Biomedical Sciences, Centre for Discovery Brain Sciences

Location: Edinburgh
Salary: £31,396 to £36,024 per annum (A revised salary range for this grade of £32,982 to £38,205 is planned to take effect from Spring 2024)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 20th March 2024
Closes: 10th April 2024
Job Ref: 10059

Fixed term until 31/3/2028  

Full time, 35 hours per week

We are looking to recruit a talented and ambitious bioinformatician / computational biologist to support a range of collaborative studies across the McColl and Priller labs. 

The Opportunity:

You will be joining research-intensive labs investigating neuroimmune mechanisms involved in brain health, ageing, vascular and degenerative brain diseases. This is an exciting role that will be integral to our labs and involve implementing and advancing computational methods which we use routinely as part of a multi-modal approach to addressing our scientific questions. While the role will primarily support ongoing and planned studies of the labs, there will be scope for professional development, and intellectual contributions to research design and analysis will be highly valued.

This post is full-time (35 hours per week). This is an on-campus located position, but we are open to this being supplemented with off-campus working on a task-specific basis and through prior agreement with the PIs. 

Your skills and attributes for success: 

  • Minimum of BSc or equivalent qualification and/or experience in bioinformatics, or a related computational discipline.
  • Experience in bioinformatics and statistical analysis of large -omics datasets
  • Excellent computer and programming skills (e.g. R, Python) and ability to develop and implement computational solutions using coding best practices.
  • Good knowledge of bioinformatics tools and methods used in genomics/transcriptomics research
  • Ability to work collaboratively in an interdisciplinary team and under own initiative
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