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Job Vacancies

Interested in joining our team? Supporting our clients relies on the skill and experience of our staff so we work to attract the best people to Glasgow Polyomics. From time to time, we also announce vacancies at some of our partner laboratories within the University.

There are no vacancies available at present, but please check again later.

There are no vacancies available at present, but please check again later.

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Reference:
015606
Title:
Bioinformatician
Description:
Glasgow Polyomics is looking for a new Next Generation Sequencing Informatician. You will contribute to research on multi-omic data sets, including development of assays, novel algorithms and exploitation of other software to process and analyse data generated at the Glasgow Polyomics facility and beyond, in the areas of genomics, transcriptomics and proteomics/metabolomics. Specifically, the job requires expert knowledge in bioinformatic analyses.
Apply By:
19 March 2017

There are no vacancies available at present, but please check again later.

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Title:
PhD: Graph based methods to identify drugs and metabolites in stroke patient urine.
Description:
Understanding how patients metabolise drugs is increasingly recognized as fundamental to stratified medicine. Pathways of drug metabolism can be complicated and the genetic basis of drug metabolism is yet to be elucidated. Quantification of parent drug and metabolite levels can demonstrate directly how a patient alters drugs and we can then assess whether this relates to treatment response. Mass spectrometry based untargeted metabolomics offers unparalleled capability to identify drugs and their metabolites.
Apply By:
4 April 2016
Title:
PhD: Investigating individual specific effects in omics datasets
Description:
This project aims to develop analytical methods that account for Individual Specific Effects in the analysis of omic datasets and investigate their significance across a range of studies and disorders. The student will develop these methods using Generalized Linear Models and Bayesian analyses and apply them to in-house and publicly available data sets.
Apply By:
4 April 2016

There are no vacancies available at present, but please check again later.