We are looking for an experienced Bioinformatician to join us in the exciting role of developing a phylogenetic annotation procedure in one of the world’s leading scientific resources, the Universal Protein resource (UniProt) at the EMBL-European Bioinformatics Institute (EBI) located on the Wellcome Genome Campus near Cambridge in the UK.
The successful candidate will have the wonderful opportunity of working with scientists in the UniProt and Gene Ontology (GO) groups at EMBL-EBI and University of Southern California, respectively. S(he) will be working in the integration of the phylogenetic tree-based annotations from the GO Phylogenetic Annotation project with the rule-based automatic annotation system (UniRule) developed by UniProt. S(he) will be based in a multidisciplinary team within the Protein Function group and will respond to the Protein Function development Team Leader at EMBL-EBI.
The Protein Function development team maintains bioinformatics infrastructure of the world leading Universal Protein Resource (UniProt), Gene Ontology Annotation and Enzyme resource. This is a very dynamic and interdisciplinary team comprising talented and enthusiastic software engineers and bioinformaticians working closely together with the biocurators in these resources. The UniProt resource is one of the most internationally used protein databases serving a large and diverse research community in genomics, proteins and proteomics.
The EBI is a world-leading bioinformatics centre providing biological data to the scientific community, with expertise in data storage, analysis and representation. The Universal Protein Resource (UniProt) provides a central resource on protein information and a solid set of services and computational analysis of protein data. UniProt is produced by the UniProt Consortium – a collaboration between the EBI, the Protein Information Resource (PIR) and the Swiss Institute of Bioinformatics (SIB).Your roleThe post holder will be working in developing computational methods for annotation of proteins based on phylogenetic trees approaches. This is a dynamic, challenging environment, provides an excellent opportunity to handle, organise and annotate large-scale complex biological data; observe emerging trends and methods from forefront and be part of working within an international environment.
- Collaborate with the project scientists in the scientific design and development of the project
- Develop formats for conversion of the rule-based system UniRule into evolutionary models
- Analyse and evaluate project software for phylogenetic tree-based annotation of proteins with functional annotations
- Develop software a new pipeline for phylogenetic tree-based annotation in UniProt
- Assist Software engineers in the team in the development of the annotation pipeline within the database production