We are looking for a quantitative researcher with an interest in Bayesian methodology applied to rare hereditary disorders. He or she will join the MRC Biostatistics Unit under the Statistical Genomics theme and work with Dr Ernest Turro on developing methodology to identify statistical associations between rare genetic variation and rare diseases. The successful candidate will work closely with colleagues in the MRC Biostatistics Unit and the Department of Haematology on the analysis of genetic and phenotypic data generated by the NIHR BioResource-Rare Diseases.
The successful candidate will have a PhD (or equivalent) in statistical genetics or related field with a background in a strongly quantitative discipline such as physics, computer science or mathematics. Scientific and statistical computing skills including experience with unix environments are indispensable. He or she will also have experience of a low level computing language such as C, C++ or FORTRAN. The candidate will need to develop, document and maintain R packages implementing statistical methodology and must have working knowledge of standard scientific computing libraries. The ability to work independently while collaborating and contributing to a greater team is critical.
Fixed-term: The funds for this post are available for 18 months in the first instance.
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. 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 for applications is Friday 5th May 2017, with an interview date to be confirmed.
Please quote reference SL11998 on your application and in any correspondence about this vacancy.
The University values diversity and is committed to equality of opportunity.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.