The Unit is offering an exciting opportunity to work on cutting edge Bayesian statistical methods for the analysis of genomics data within the research program for integrative genomics led by Prof Sylvia Richardson.
Specifically, the post holder will be expected to engage in current work on the detection of weak trans-expression Quantitative Trait Loci effects using a Bayesian method recently developed with collaborator Dr Leonardo Bottolo, Department of Medical Genetics and The Alan Turing Institute, and applying it to the large data set of the international Genotype-Tissue Expression (GTEx) project. Complementary statistical and bioinformatics analyses of the output will be undertaken in order to enhance its biological interpretability. It is also expected that the post holder will contribute to the development of generic statistical methods for integrative genomics analysis of RNA-seq data as well as proteins and metabolites.
A PhD in Statistics, Biostatistics or Computer Science, or a closely aligned discipline, is essential. Applicants should also have a background in Bayesian statistics and computation, and be able to implement data analysis packages in low-level language (C++). Knowledge of approximate methods for Bayesian inference of large data sets such as Variational Bayes is also desirable.
The successful candidate must be able to work effectively within a team, have the ability to develop and apply new concepts, and have a creative approach to problem-solving. The successful candidate will be expected to develop contacts and collaborations within Cambridge Biomedical Campus.
For an informal discussion about this post, please contact firstname.lastname@example.org.
Fixed-term: 3 years.
To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
Closing Date: 6th January 2019
Interview Date: 18th January 2019
Please quote reference SL17458 on your application and in any correspondence about this vacancy.
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