Two post-doctoral researcher positions are available that will play key roles in delivering an exciting new 4-year multi-partner BBSRC research project focussed on understanding genome evolution following whole genome duplication (WGD, i.e. polyploidy) events across the Tree of Life (please see rediploidisation.org). The researchers, based at the Roslin Institute, will lead and deliver ambitious scientific objectives as part of a highly integrated multi-partner consortium, for example using cutting-edge comparative single cell transcriptomics and whole genome alignment approaches to reconstruct genetic and functional changes that follow WGD events in diverse eukaryotic taxa.
One post focusses on comparative single cell transcriptomics and is available full-time (35 hours per week) for three years with potential for extension up to 4 years. This post will involve both lab work and bioinformatic analyses.
One post focusses on bioinformatic analyses of genome evolution following whole genome duplication events. This post is available either full-time (35 hours per week) for two years (with potential for extension up to 3 years) or part-time (e.g. 0.5 FTE, 0.75 FTE) for a longer period, accommodating candidates seeking part-time working arrangements.
Both posts will be based primarily on campus at the Roslin Institute; however, we are open to considering flexible working patterns (on a contractual basis) and requests for hybrid working (on a non-contractual basis) that combine a mix of remote and regular on-campus working.
For informal enquiries, please get in touch with Professor Dan Macqueen (daniel.macqueen@roslin.ed.ac.uk)
For more information about Professor Macqueen’s research group, see: here
The salary for these posts is UE07 £40,247 to £47,874 per annum.
Your skills and attributes for success:
PhD in relevant discipline of biology
Extensive experience in comparative or evolutionary genomics and bioinformatics
Proven skills in a range of advanced omics technologies
Demonstrated interests in genome evolution
Proven track record of publishing first author papers in high quality journals
Potentially skills in lab work required to produce high quality omics datasets