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.

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/BashExperience in the analysis of high-throughput biological datasets.
• 
  Click to view a copy of the full job description (opens new browser tab)
  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.

Please refer the Job description for details