This is an exciting opportunity to make a significant contribution to the Functional Annotation of Animal Genomes (FAANG; http://www.faang.org) project. You will be responsible for support and development of software to handle data curation, coordination, validation, distribution and visualisation for three FAANG consortia each with a different species and scientific focus (AQUA-FAANG, BovReg and GENE-SWitCH).
You will work with these large scientific communities to define and implement metadata standards, develop software to validate and improve data descriptions and develop, and extend, existing web data portals such as (http://data.faang.org) to meet the specific needs of each consortium. The data portals will include Application Programming Interfaces (APIs) and bespoke data visualisation and presentation solutions. You will also support efforts for the development of standardised containerised workflows and cloud platform integration.
As part of this team, you will have many opportunities to engage with data generators, project users, and collaborators, to which you will provide guidance and support on utilisation of the team's software and support users to provide rich metadata descriptions.
The Data Coordination and Archiving team is part of the Molecular Archive Resource cluster and as a member of this team you will work with a range of archives at EMBL-EBI to support the livestock community in sharing and gaining access to well described, high quality sample and genomic data.
You should have a bachelors or higher degree, or have equivalent experience in Bioinformatics, Genetics, Computer Science, or related fields. We are particularly looking for someone with an already proven proficiency or willingness to learn to produce production level code.
Excellent communication skills and an ability to work to tight deadlines are essential. The post holder will be required to communicate technical documents, take part in code reviews, as well as provide user-oriented communication with external and internal users of the systems. Required experience:
Proficiency with database connectivity.
Good understanding of ‘omics research, data and technologies.
Git and working in a collaborative software environment
Willingness to learn new skills as the project requires
Self-motivated and capable of working both independently and as part of a team
Excellent communication, interpersonal and English language skills
You might also have
Knowledge of ontology and standards development
Experience with ElasticSearch or similar data warehousing technology
Experience processing of biological archive data
Previous experience in livestock ‘omics research
Track Hub Development
Containerisation (Docker or similar) and orchestration
Tests and CI/CD
To apply please submit a covering letter and CV through our online system. Applications are welcome from all nationalities and this will continue after Brexit. For more information please see our website. Visa information will be discussed in more depth with applicants selected for interview. https://www.ebi.ac.uk/about/jobs
EMBL-EBI is committed to achieving gender balance and strongly encourages applications from women, who are currently under-represented at all levels.