Postdoctoral Research Associate
University of Exeter
We are seeking an enthusiastic postdoctoral researchers with a background in bioinformatics, computational biology or data science to join a world-leading team of researchers to study the genetic basis of diabetes and related conditions.
You will be working with Professor Michael Weedon and Dr Kashyap Patel in the world leading department of genomic medicine to understand the impact of rare genetic variants on risk of diabetes and related disorders using extremely large-scale cohorts. The position will involve analysis of exome and genome sequence data, SNP array data and clinical data. You will work collaboratively with a world leading team of bioinformaticians, molecular geneticists and clinicians working in monogenic diabetes and polygenic diabetes.
– possess a PhD/DPhil/MSc (or near completion) in bioinformatics, genetics, data science, mathematics, statistics, computer science or a related field
– have a successful track record in academic research that includes the statistical analysis and interpretation of complex or large datasets, and excellent problem-solving abilities
– experience analysing exome sequence, SNP chip or clinical data will be desirable, but not essential
-a good knowledge of Python, R or similar language and the ability to write and develop scripts as well as modify and implement open source or published code is desirable.
What we can offer you
Freedom (and the support) to pursue your intellectual interests and to work creatively across disciplines to produce internationally exciting research
An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development
Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career
For an informal discussion about the role, please contact Dr Michael Weedon,M.N.Weedon@exeter.ac.uk; 07749674355 or Dr Kash Patel, K.A.Patel@exeter.ac.uk; 07984165841.