|Salary:||£33,797 to £40,322 (Grade 7)|
|Placed On:||16th September 2020|
|Closes:||15th October 2020|
An exciting opportunity is available for an enthusiastic post graduate candidate to develop and implement bioinformatics capabilities required to utilise genomics into a successful duck breeding programme.
The role is available as part of the Knowledge Transfer Partnership scheme between the Roslin Institute, (the University of Edinburgh) and Cherry Valley Farms Ltd (CVF). The Associate will be employed by the University but based at CVF, in Lincolnshire.
Cherry Valley Farms is the foremost supplier of breeding stock to the Pekin duck industries around the World, with breeding bases in the UK, China and Germany. The company has over 60 years of experience and innovation in genetic research & development providing continual improvement of Pekin meat duck. The company supervisor will be Dr. Anne Rae, who has 24 years’ experience in quantitative genetics and 8 years duck breeding.
The Roslin Institute is a world leader in animal research. The academic supervisors are Dr Kellie Watson and Dr Andreas Kranis. Kellie has worked in both academic and industrial backgrounds, with over 20 years’ experience in animal breeding, genetics and genomics. Andreas will be co-supervisor. Over the past 12 years he has worked closely with Kellie and brings bioinformatics/data science expertise to the project. Together they have been key in implementing genomics in poultry breeding programmes.
The work builds on an Innovate UK funded project to implement genomic parental assignment and assess the value of genomic selection in the CVF breeding programme.
The post will involve: A review of company business and key stages for genomic information; Data storage and curation; Development of a working data flow for genomic evaluation; Development of an automated workflow for genomic evaluation; Quality control & data metrics; Development of automated reporting for Genomics & breed development; Implementation & commercialisation.
Candidates should have Degree in Computer Programming and MSc/PhD (or near completion) in bioinformatics. Experience is required in data analysis/scripting programming languages (e.g. R, python or equivalent); Working with large data sets; Analysing high throughput genomic data, including sequencing data; Genomic prediction and Genome Wide Association Studies; Working with SNP arrays.
Candidates should have demonstrable ability to work independently and as part of a team; Ability to communicate complex concepts effectively both orally and in writing, including a relevant peer-reviewed publication track record and attendance at major conferences.
To apply, please submit your CV and covering letter giving evidence of how you fit the candidate criteria.
This post is available on a fixed term basis for 24 months.
For more information and to submit an application, please use the ‘apply’ button below.
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