Job Role: Research Scientist
EMBL is seeking a highly motivated (bio)informatician to work in the Genome Biology Computational Support (GBCS) group. The position involves the maintenance and development of emBASE, an EMBL-wide web-based application dedicated to the management of *omics data (in particular NGS data) produced by the different EMBL groups. The successful applicant will also maintain tools and scientific libraries on unix-based servers, develop analysis pipeline in Galaxy and/or using workflow management systems (e.g. snakemake), and help managing our Galaxy server. Ideally, the candidate is able to conduct data analysis (in particular NGS data using e.g. R/bioconductor) and has some experience with docker and cloud-based technologies. The successful applicant is in charge of supporting users on a daily basis, assembling training materials (e.g. writing of wiki-based documentation/how-to) and organizing tutorials [More]
Computational Biologist to join the team of Toby Gibson. The post holder will have a dual role both as interface with experimental researchers with bioinformatics issues and to develop bioinformatics training courses targeted at beginner and intermediate levels. Advanced courses are also foreseen and would be developed together with other local trainers and/or may invite outside specialists. [More]
Creative and experienced Bioinformatician to drive these projects forward. The successful candidate will be interested in insect biology, and enthusiastic about collaborating with our partners to use the emerging data to research the serious pathologies caused by the viruses these insects transmit. They will also be interested in the development of the Ensembl platform at all levels (from specification through to implementation) to maximise the impact of these new genomic data on the relevant research communities. [More]
Bioinformatician to work on developing new search and web interfaces for genetic variation resources. The applicant can expect, if appointed, to work on integrating Elasticsearch/Solr search technologies with existing Ensembl web components for data visualisation, and developing novel data visualisation tools for sample and variation data. The post-holder will also contribute to Ensembl Metazoa, the EBI's own portal for providing public access to genomic data from vector and non-vector species, and will work as part of a group of closely collaborating teams using the Ensembl platform for a wide variety of species from across the taxonomic space. [More]
Candidates are expected to conduct independent research in genome biology, functional genomics or gene regulation, with a focus on developing methods for the analysis and integration of high-dimensional biological data and on modelling complex biological systems. [More]
Dynamic and highly motivated individual to lead the development and implementation of an ELIXIR-wide strategy for management, archiving, and responsible sharing of human data consented for reuse in scientific research. This will include development of data access and security strategies and governance processes in collaboration with technical experts from the ELIXIR Nodes, e-infrastructures and ELIXIR user communities. [More]
The Bioinformatics group seeks a talented and motivated individual to provide analytical and software support for product research and development efforts. [More]
The Bergthaler laboratory at CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences offers an exciting position for a Data Analyst / Bioinformatician. Candidates with a background in computational biology who are ready to take on the challenge of integrating and analyzing systems-level data from complementary global experiments in the context of infectious diseases, inflammation and metabolism will be considered. [More]
Applications are invited for a Bioinformatician to join the Laboratory of Dr Xiaoqi Feng in the John Innes Centre (JIC). [More]
Collaborate with Molecular Biologists, Bioinformatic Specialists, and Translational Scientists in an R&D environment. Employ statistical methods to analyze biological RNAseq data. Gather plug-in requirements, develop test plans, and develop and deploy plug-in modules to support applications. Develop new plug-in software modules for analysis of RNAseq data on internal platforms that analyze sequencing data, collect results, and prepare HTML reports. Conduct analysis of next-generation sequencing and applications of sequencing regarding personalized medicine and human health. Develop data analysis strategies and design assays via targeted sequencing. Implement bioinformatics data integration and analysis pipelines in Pipeline Pilot or scripting languages, using Life Technologies high-throughput genomic data and sample annotations. [More]