Back-end Software Developer (GWAS Catalog)

  • EMBL
  • United Kingdom
  • Aug 30, 2020
Technology Full Time - Fixed Term

Job Description:

The Samples, Phenotypes and Ontologies team is part of the Molecular Archives Cluster and shares projects such as the GWAS (Genome-Wide Association Study) Catalog with the Genes, Genomes and Variation Cluster. We also collaborate closely with EMBl-EBI colleagues.

The GWAS Catalog is a manually curated, high-quality repository of all published genome-wide association studies and has been running since 2008. It is considered the “go-to” resource for looking up findings relating human genotype to phenotype associations. GWAS studies give scientists insight into the association between small variations in the human genome, and biological traits, phenotypes or diseases. The GWAS Catalog is responsible for collecting these data and making them Findable, Accessible, Interoperable and Reusable (FAIR) so they can be served back to the community for analysis and discovery.  We’re looking for an experienced software developer to join the GWAS Catalog development team and help take our infrastructure to the next level.  You’ll be working on the full software stack as a DevOps engineer and have the opportunity to influence the design and development of the system to meet future challenges in this exciting era of genomic science.

You should be a strong Java programmer who is excited and interested by complex data integration and presentation problems. You’ll need to be flexible enough to learn new languages to find the right tool for the right problem.  You’ll be responsible for the development and maintenance of the GWAS Catalog software using a variety of tools, frameworks and technologies, including Spring, Thymeleaf and Bootstrap.  You should also be keen to advance your knowledge of the latest industry standard toolkits to help continuously innovate the Catalog.  You should be enthusiastic about full-stack development, as you’ll be expected to develop, test and deploy tools from database to user interface.

The Samples, Phenotypes and Ontologies Team practices agile development methodologies, so you should have experience in working in agile teams, or be keen to learn.

You will also need to be capable of working with non-technical biologists to maintain a strong focus on the biological requirements of the GWAS Catalog, and ideally have familiarity with conducting user experience testing to ensure that the Catalog is tailored to our users’ requirements.  If you have a biological background, or have worked in a bioinformatics environment in the past, you’ll have a distinct advantage but training in this area will be provided if required.


The position is a fantastic opportunity to gain hands-on experience at working on a project with major scientific impact in a world-leading bioinformatics institute. Your role will involve:  


Our supportive culture encourages personal and professional development and we are committed to ensuring our employees feel valued, supported and empowered to reach their potential at work. Surrounded by beautiful South Cambridgeshire countryside, our Campus provides employees with a relaxed atmosphere where the pursuit of scientific discovery and meaningful work, underpin every role. In addition, our employees have access to a wide range of benefits including:  

This position is limited to the project duration specified and is full-time (39h per week). While this position cannot be entirely remote, flexible working (alternative work schedule, flexible hours) can be possible. Many members of the team have families and dependants and we value the importance of a good work-life balance.

At EMBL-EBI, we strongly believe that inclusive and diverse teams benefit from higher levels of innovation and creative thought. We encourage applications from women, LGBTQ and individuals from all nationalities. Visa exemptions will be offered to international candidates and details will be discussed during interview.

To apply, please submit your application through our online system.  Applications will close at 23:00 BST on the date listed above. We aim to provide a response within two weeks after the closing date.