1. Job:UCL Statistical Genetics of Rice and Chickpea (Mott, Richard)

Genetics Institute University College London
Research Associate in Statistical Genetics and Bioinformatics - Ref: 
1704024

We are recruiting a talented statistical geneticist/bioinformatician 
with excellent communication skills to determine the genetic basis of 
complex phenotypes in rice and chickpea, with the aim of improving these 
important crops. The methodologies developed by the project will apply 
to many other crops and animals.

The post is funded by the UK Global Challenges Research Fund and the 
BBSRC. The post-holder will join the group of Richard Mott in the 
Genetics Institute (UGI) at University College London (UCL), and will 
work in close collaboration with the International Rice Research 
Institute (IRRI), Philippines, and the International Crops Research 
Institute for the Semi-Arid Tropics (ICRISAT), India, and the National 
Institute for Agricultural Botany (NIAB), Cambridge. The project will 
involve visits to both IRRI and ICRISAT.

The project focuses on (i) the imputation of genome sequence from crop 
populations sequenced at low coverage, adapting methods developed 
previously in the group (e.g. Davies et al Nature Genetics 2015) (ii) 
the use of low-coverage population sequence to identify structural 
variants implicated in phenotypes (Imprialou et al Genetics 2017) (iii) 
The development and implementation of quantitative genetics and genomic 
prediction methods in crop development, particularly in relation to 
multiparental advanced intercrosses (MAGIC populations. (iv) Close 
collaboration, support and knowledge exchange with partner laboratories.

Applicants must have a PhD in Statistical Genetics, Bioinformatics or a 
related field, and a good understanding of genetic association mapping, 
and experience of manipulating and analysing Next-Gen sequence data. It 
is essential candidates demonstrate programming fluency in R, 
Perl/Python, or C/C++.  The successful candidate must have experience of 
conducting research in statistical genetics or bioinformatics, and in 
managing long-distance collaborations effectively.
The post is available from now until 30 June 2021 with possibility of 
extension.
Salary Grade7 ?34,635 - ?41,864 per annum (inclusive of London 
allowance)
Closing Date: 2 February 2018

Further details and application form available from 
https://tinyurl.com/y7sqh3rr Please ensure you read these carefully 
before applying for the post as candidates must meet all essential 
criteria to be considered.


If you would like to discuss the post please contact Professor Richard 
Mott, [log in to unmask]<mailto:[log in to unmask]>