The University of Glasgow is seeking a Statistical/Machine Learning Data Analyst within the College of MVLS Shared Research Facilities.
The postholder will be responsible for performing analysis of large, complex, multi-platform data sets generated at the facility in support of world class research. This will entail research on appropriate statistical and machine-learning methodology in the areas of large scale omics data such as genomics, transcriptomics, proteomics/metabolomics and the integration of these, as well as outputs for functions such as protein analysis and cellular analysis. It will also involve writing software to implement developed algorithms, such that it can be used in a production environment.
The purpose of the job is also to provide specialist scientific advice and input to facility users to maximise the output of their datasets through novel analytical methods, and to disseminate that knowledge to staff and students through mentoring and training.
This position is full-time (35 hrs. per week) and open ended.
Informal enquiries may be directed to Dr Ronan Daly, [email protected]
Please note that as the College of MVLS Shared Research Facilities is in the process of being created, there is currently no website explaining its operations; however Dr Daly will be pleased to answer any questions on this.
Closing Date: 16th April 2024
We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/
We endorse the principles of Athena Swan https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/athenaswan/
and hold bronze, silver and gold awards across the University.
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