[ABE-L] Post-doc in statistical genetics - Roslin Institute, University of Edinburgh

[Osvaldo Junior]

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Abaixo encontra-se a descrição de uma oportunidade de trabalho no Roslin
Institute (Edimburgo, Escócia). Interessados podem também entrar em contato
comigo.

att.,
Osvaldo



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Genetic analysis of infectious disease outbreaks in livestock populations

Post-doc position in the Division of Genetics and Genomics, The Roslin
Institute and R(D)SVS, The University of Edinburgh, Scotland, UK.

A post-doc position in statistical genetics is available at the Roslin
Institute to determine host genetic influences underlying infectious
disease outbreaks in livestock populations.  The successful candidate will
contribute to two international collaborative projects aiming to determine
the genetic basis of infectious disease outbreaks in aquaculture.  In
particular, we will analyse epidemiological data from diverse fish disease
challenge experiments generated within these projects with the aim to
quantify genetic susceptibility, infectivity and tolerance of fish to
diseases of major importance to the aquaculture industry. The knowledge
will be utilized to design new genetic disease control strategies.  For
this purpose we will implement and further develop a variety of
state-of-the art inference methods in statistical genetics applied to time
to infection or death as well as to cross-sectional and longitudinal binary
disease data, including MCMC methods for quantitative genetics models of
infection dynamics recently developed by our team. The work will be carried
out in close collaboration with quantitative geneticists and aquaculture
specialists in the UK, Spain and Norway. The post-doc will also contribute
to the development and application of mathematical simulation models and
experimental designs to assess how host genetics affects disease spread and
impact in genetically diverse livestock populations.

Qualifications:
The post-holder must have a PhD in a mathematical or statistical discipline
with a substantial quantitative component (e.g. mathematics, statistics,
theoretical biology or physics, quantitative genetics), together with
evidence of skills and training in mathematical modelling and statistical
inference.

Essential requirements:

•       Experience of Bayesian statistics, Markov chain Monte Carlo or
related techniques for statistical inference of dynamic processes.
•       Excellent programming skills and experience in writing
computational code for analysing or modelling dynamic processes.
•       Experience in a range of statistical techniques for mixed model
analyses of multivariate data. A track record of research outputs,
publications in peer reviewed scientific journals and presentations at
scientific conferences.
•       Excellent written and verbal communication skills; ability to
communicate findings to other researchers with different research
backgrounds.

The ideal candidate for this post will further have:

•       Experience in statistical analysis of genetic or epidemiological
data.
•       Basic knowledge of quantitative genetics applied to livestock
•       A strong interest in multi-disciplinary research and in acquiring
new skills.
•       Experience in collaboration with scientists from other disciplines.

Application Details:

This post is available immediately from a mutually agreed start date.
Initially the post will be a 16 months full-time contract (or longer
part-time position) with a potential for longer-term extension  (funding
dependent).
If interested, please follow the instructions for “Application procedure”
on the Edinburgh website:
https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobspec?p_id=032488
The closing date for applications is February 27th 2015.  Please send also
a current CV, letter of interest, and contact information for 3 references
to Dr. Andrea Doeschl- Wilson (andrea.wilson em roslin.ed.ac.uk) by 27.
February 2015.  If you have questions about the post, us or our work,
please contact Dr Andrea Doeschl Wilson ( phone +44 -131 - 651 9224 or
above email).

Some relevant publications:

Lipschutz-Powell D. et al. 2013. A unifying theory for genetic
epidemiological analysis of binary disease data. Genetics Selection
Evolution. 46:15

Doeschl-Wilson A.B and Kyriazakis I (2012). Should we aim for genetic
improvement in host resistance or tolerance to infectious pathogens?
Editorial to special research topic: Should we aim for genetic improvement
of host resistance or tolerance to infectious disease. (eds. Doeschl-Wilson
A.B. and Kyriazakis I.). Front. Gene. 3:272. doi: 10.3389/fgene.2012.00272

Lipschutz-Powell D. et al. 2012. Are we capturing the full heritable
variation underlying disease prevalence? PLoS One. 7(6): e39551.
doi:10.1371/journal.pone.0039551

Doeschl-Wilson A.B et al.  (2011) Implications of host genetic variation on
the risk and prevalence of infectious diseases transmitted through the
environment. Genetics. 188: 683-693. doi:10.1534/genetics.110.12562

We are looking forward to hearing from you!







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