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Vacancy: Researcher/Senior Researcher in Statistical Inference for Stochastic Processes Biomathematics & Statistics Scotland (BioSS)

BioSS seeks a scientist with a strong quantitative background, ideally with experience of Bayesian and computationally intensive methods to undertake methodological research in inference for stochastic process models and in the application of resulting methods in collaboration with biological scientists. Key areas of application are population and spatial models in epidemiology and ecology. The aim is to develop and apply computationally intensive modelling and analysis methods to address scientific and societal challenges by exploiting the potential of existing and emerging types of data e.g. in genomics and meta-genomics.

This work will contribute to disease outbreak preparedness as part of EPIC, the Scottish Government's Centre of Expertise in animal disease of which BioSS is a founding member. It will also contribute to the Scottish Government's Environment, Agriculture and Food Strategic Research Programme and exploit opportunities for research and innovation funding from other sources including UKRI.

BioSS offers a stimulating working environment located in the James Clerk Maxwell Building at the University of Edinburgh, King's Buildings campus and extensive opportunities to develop collaborations with scientists in both the research institute and university sectors. In particular, this post will devote a day a week to interacting with scientists based at the Roslin Institute to develop collaborative links e.g. in areas related to host and pathogen genetics and disease.

Applicants should have a very strong numerical and computational background and:

  • a research track record in methods of inference for stochastic process models including Bayesian and computationally intensive methods;
  • evidence of, or demonstrable interest in, applications of these methods in epidemiology, ecology or other biological research;
  • strong programming skills; and
  • excellent communication and interpersonal skills.

Grade and starting salary

This post will be offered at Hutton Grade D (salary £31,365) or Hutton Grade E (salary £38,250).

Please quote reference number BioSS 04-19 in all correspondence.

How to apply

Applications for this post should be submitted using the recruitment pages operated by our parent organisation the James Hutton Institute.

Closing date - 5pm 10th January 2019
Interview date - To be confirmed but likely in the week beginning 20th January

Duration and location - This is a permanent appointment. This position will be based within the BioSS Group based at the King's Buildings campus of the University of Edinburgh. All individuals wishing to work within the UK must be entitled to do so before they can be employed.

Potential applicants may contact Professor Glenn Marion (glenn.marion@bioss.ac.uk, tel +44 (0) 131 650 4898) in confidence to discuss the post.

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