Research Associate/Senior Research Associate in Bioinformatics
Division/School School of Computer Science, Electrical and Electronic Engineering and Engineering Maths
Contract type Open Ended
Working pattern Full time
Salary £33,199-£37,345 (Grade I), £37,345-£42,036 (Grade J)
Closing date for applications 09-Dec-2018
We are seeking a talented Research Associate/Senior Research Associate with extensive experience in bioinformatics, machine learning or computational statistics and who is interested in the application of these techniques within genomic medicine.
Within this area an ongoing theme has been the development of integrative classifiers for predicting the functional impact of human genetic variation i.e. if variation is pathogenic (a disease-driver) or neutral (see e.g. fathmm.biocompute.org.uk, cscape.biocompute.org.uk). We are very interested in using bioinformatics and machine learning methods to find disease subtypes via unsupervised learning, find variants acting as disease-drivers, predict course of disease, predict response to treatment and find drug targets, for example. A further interest is the development of novel machine learning based methods which support this overall objective.
The project is linked to a large MRC Stratified Medicine Initiative grant with the goal of using bioinformatics and machine learning to define more personalized treatment regimes. A major objective of the project will be to work with Prof. Moin Saleem and his team to use these methods to identify disease-drivers responsible for nephrotic syndrome and chronic kidney disease and to further our understanding and ability to treat these diseases.
The successful candidate will be appointed at either Research Associate (grade I) or Senior Research Associate (grade J) depending on experience. The post-holder will have the opportunity to develop their own research portfolio within the programme and will be supported in their career progression.
Candidates for the position should have strong mathematical and computational skills with experience in Python, R and other programming languages and experience working with a range of bioinformatic data sources. The successful applicant will be based within the Intelligent Systems Laboratory of the University of Bristol and will also work with Dr. Tom Gaunt (MRC IEU Bioinformatics Lead).
This position is being advertised on a full time, open-ended contract with funding until 30 December 2021.
Useful links and contacts:
Intelligent Systems Laboratory: https://intelligentsystems.bristol.ac.uk/
Prof. Moin Saleem: http://www.bristol.ac.uk/clinical-sciences/people/moin-saleem/index.html
Colin Campbell https://seis.bristol.ac.uk/~enicgc/index.htm
We appreciate and value difference, seeking to attract, develop and retain a diverse mix of talented people that will contribute to the overall success of Bristol and help maintain our position as one of the world’s leading universities.