Synomics aims to transform the efficiency of the agri-food industry by improving animal and crop production efficiency, and the economics and sustainability of the entire production value chain for multiple species. Our platform is a revolutionary advance in the analysis of high-throughput genotypic, phenotypic and environmental data to accurately measure and analyse protein production efficiency, health, accelerate genetic progress, and deliver more sustainable protein production from animals and plants. We are a small but rapidly growing AI enabled genomics, breeding and precision agriculture company with global ambition and partnerships with some of the largest international livestock breeding companies and research institutes.
We are located near Oxford, UK and in Copenhagen, Denmark and were founded by a diverse team of highly experienced animal production & health, genomics, breeding, bioinformatics, AI and computer science leaders.
We have a fantastic opportunity for a Senior Quantitative Geneticist / Animal Breeding Specialist to join our team, reporting to our CTO, Professor Haja Kadarmideen. We are looking for someone who is comfortable working with one or more livestock species (e.g., dairy & beef cattle, pigs, companion animals and poultry) datasets both commercial and academic. The ideal candidate will have strong expertise and experience in quantitative genetics, statistical genetics, genomic breeding value estimation / genomic selection in animal breeding and large-scale genome-phenotype association studies (GWAS) using standard as well as new computational tools (e.g. AI/machine learning). Experience in breeding program designs and net merit indexes utilizing genomics (e.g. SNP, haplotypes etc) to make faster genetic gain would be an advantage.
The main responsibilities will involve identifying and interpreting novel associations within large, multi-dimensional mainly animal and poultry phenotypic, pedigree and genetic / genomic datasets but may also involve crop & aquaculture species. These will include genome sequencing and/or genotype datasets as well as deep phenotypic data such as feed intake, growth, fertility, activity, imaging, longitudinal disease episodes, electronic welfare records, pedigree & breeding records and other phenotype datasets. The ideal candidate will have a keen interest in creating insight and value from complex data from animal breeding organizations and experiments, a good knowledge of animal biology and a passion for identifying and answering questions that help us solve real-world problems and build the best products.
This is an exciting opportunity to help shape the direction of the business as a key member of the team and to help accelerate technology change, improve animal production and reproduction efficiency, health & welfare and reduce carbon emissions across a globally significant industry.
This job description is not exhaustive and will be subject to periodic review. It may be amended to meet the changing needs of the business.
Please mention the job reference number SYN-QG-02/20 in the cover letter and subject line of your email when applying.
Synomics is a collaboration between Wheatsheaf Group Ltd and PrecisionLife Ltd. Wheatsheaf Group directly operates, invests in and helps to develop businesses in the food and agriculture sectors. PrecisionLife is an AI enabled precision medicine company, which is ISO27001 accredited, committed to equal opportunities and operates a carbon neutral business. To learn more, visit: http://www.synomics.ai/" rel="noopener noreferrer" target="_blank">http://www.synomics.ai/, https://www.wheatsheafgroup.com/" rel="noopener noreferrer" target="_blank">https://www.wheatsheafgroup.com/ and https://precisionlife.com/" rel="noopener noreferrer" target="_blank">https://precisionlife.com/.
We follow the EU right to work employment checks and you will therefore need to satisfy basic eligibility criteria/certain conditions of employment (e.g. nationality rules/right to work in EU / UK); and provide appropriate original documentation to verify ID, nationality, employment and/or academic history.
Synomics is fully committed to equal opportunities.
In this policy, you will find information about our compliance with GDPR (data protection law.) You can find how to send us a request to let you access your data that
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