The main purpose of this role will be to identify suitable datasets in the GWAS catalog for inclusion in the AMP-T2D portal. The candidate will survey, categorise, and propose suitable datasets based on the suitability of the phenotypes and raw data available for the published studies. The candidate will coordinate obtaining access to the datasets, harmonising and loading the datasets into the AMP-T2D federated node located at EMBL-EBI
You should have the following qualifications and skills: A postgraduate degree in bioinformatics, computer science, computational biology or equivalent industry experience; Expertise in one or more of: Python, Bash shell, Java; Familiarity with working in Unix environments and compute clusters; Knowledge of genetic variation; Experience with interacting/processing/analysing bioinformatics datasets; Excellent written and verbal communication skills
Bioinformatician - AMP-T2D Project Location: EMBL-EBI, Hinxton near Cambridge, UK Staff Category: Supernumerary Contract Duration: Until end April 2020 Grading: 5 (monthly salary starting at £2,676.73 after tax) Closing Date: 20 November 2019 Reference Number: EBI01512 We are looking to recruit an enthusiastic, highly motivated Bioinformatician to work in the EGA and Archive Infrastructure Team at the European Bioinformatics Institute (EBI) located on the Wellcome Trust Genome Campus near Cambridge in the UK. The successful applicant will work with a focused team of developers, bioinformaticians and user support personnel on the Accelerating Medicines Partnership - Type 2 Diabetes project (http://www.type2diabetesgenetics.org/). You will help build multi-platform, cloud-friendly pipelines for genetic association studies, and statistical analysis of variation and its effect in type 2 diabetes and associated phenotypes. As part of this project you will have the opportunity to work with national and international collaborators, and to gain expertise in biological and phenotypic ontologies. You will also work with software developers to operate Extract, Transform, and Load (ETL) pipelines for the management, transfer and analysis of human genetic data. Your role The main purpose of this role will be to identify suitable datasets in the GWAS catalog (https://www.ebi.ac.uk/gwas/) for inclusion in the AMP-T2D portal. The candidate will survey, categorise, and propose suitable datasets based on the suitability of the phenotypes and raw data available for the published studies. The candidate will coordinate obtaining access to the datasets, harmonising and loading the datasets into the AMP-T2D federated node located at EMBL-EBI. You have You should have the following qualifications and skills: A postgraduate degree in bioinformatics, computer science, computational biology or equivalent industry experience. Expertise in one or more of: Python, Bash shell, Java Familiarity with working in Unix environments and compute clusters Knowledge of genetic variation Experience with interacting/processing/analysing bioinformatics datasets Excellent written and verbal communication skills You might also have The following skills and experience would be advantageous: Knowledge or experience in Genome Wide Association Analysis Knowledge of Docker containers, virtual machines and cloud environments Proficient in next-generation sequencing data analysis and variant analysis Experience in running and maintaining complex bioinformatics pipelines. Experience in using relational databases and SQL Why join us At EMBL-EBI, we help scientists realise the potential of ‘big data’ in biology by enabling them to exploit complex information to make discoveries that benefit mankind. Working for EMBL-EBI gives you an opportunity to apply your skills and energy for the greater good. As part of the European Molecular Biology Laboratory (EMBL), we are a non-profit, intergovernmental organisation funded by 22 member states and two associate member states. We are located on the Wellcome Genome Campus near Cambridge in the UK, and our 600 staff are engineers, technicians, scientists and other professionals from all over the world. EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation. We have an informal culture, international working environment and excellent professional development opportunities but one of the really amazing things about us is the concentration of technical and scientific expertise - something you probably won’t find anywhere else. If you’ve ever visited the campus you’ll have experienced first-hand our friendly, collegial and supportive atmosphere, set in the beautiful Cambridgeshire countryside. Our staff also enjoy excellent sports facilities including a gym, a free shuttle bus, an on-site nursery, cafés and restaurant and a library. What else you need to know To view a copy of the full job description please click here To apply please submit a covering letter and CV, with two referees, through our online system. Applications are welcome from all nationalities - visa information will be discussed in more depth with applicants selected for interview. EMBL-EBI is committed to achieving gender balance and strongly encourages applications from women, who are currently under-represented at all levels. Appointment will be based on merit alone. This position is limited to the project duration specified. Applications will close at 23:00 GMT on the date listed above
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