Postdoctoral Research Assistant in Statistical Genetics Software Development
University of Oxford - Department of Statistics
|Salary:||£38,896 to £46,414|
|Contract Type:||Contract / Temporary|
|Placed on:||12th October 2016|
|Closes:||11th November 2016|
24 – 29 St Giles, Oxford
Grade 8: £38,896 - £46,414 with a discretionary range to £50,702 p.a.
Applications are invited for a Postdoctoral Research Assistant in Statistical Genetics Software Development. The full-time position is funded by the Wellcome Trust and is fixed-term for 3 years. Whilst this role is a Grade 8 position, we would be willing to consider candidates with potential but less experience who are seeking a career development opportunity, for initial appointment at Grade 7 (£30,738 - £37,768 with a discretionary range to £41,255 p.a.) with the responsibilities adjusted accordingly.
You will be responsible for developing algorithms for the imputation of untyped genotypes, and fine-scale genetic ancestry, in third-party samples. These algorithms will leverage the complete genome sequences of 70,000 individuals currently being gathered by Genomics England (GEL). You will work in collaboration with other researchers to implement these algorithms on the GEL computing cluster, and potentially develop implementations for other high-dimensional genetic variation datasets in the future. The postholder will work in collaboration with colleagues at key partner institutions and provide information and advice to other group members on scientific protocols and experimental techniques.
You will work together with two other Postdoctoral Research Assistants focusing on statistical methods development.
You will hold a completed PhD or will be working towards a doctorate, or will have experience equivalent to a doctorate in a relevant quantitative scientific discipline, for example, computer science, informatics, software development or research computing.
You will have experience in working with low-level computing languages (e.g. C/C++) or with GPU programming, and a professional approach to software design, structuring and testing; you will have experience of the development of novel algorithmic approaches, together with a strong motivation to work in problems related to human genetics. You will be able to conduct and complete high-quality research both independently, and in collaboration with the PI and project partners.
The closing date for applications is 12.00 noon on Friday 11 November 2016. Interviews will take place on Monday 21 November 2016.
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South East England