Software Developer - Proteomics Resources

EMBL-EBI - European Bioinformatics Institute

Hinxton, United Kingdom

Are you a motivated software developer who wants to work with biological data? We are looking for an enthusiastic Full Stack Java and Python Developer to join the Proteomics Team at the European Bioinformatics Institute (EMBL-EBI).

You will contribute to the development of different core database applications and web services, including web and stand-alone applications that are part of the PRIDE database tool ecosystem. In addition, you will contribute to the development of the new PRIDE Controlled access (PRIDE-CA) resource which will enable proteomics data deposition of studies containing human sensitive data .

Your role

Design/Build/Develop new web-services and infrastructure for data deposition, search and retrieval from PRIDE resources (PRIDE Archive/PRIDE-CA);
Main contributor of the new PRIDE_CA resource for controlled access data and a unified authentication system acrossPRIDE resources;
Support the optimization of web application components and interfaces in Vue.js to search and present PRIDE data;
Collaborate with other developers in other teams at EBI and ProteomeXchange to integrate the data from PRIDE into other existing resources such as ProteomeCentral, ExpressionAtlas or UniProt.

You have

You should have a minimum of 3 years’ experience in computer science or software engineering, ideally in a life science environment. Experience in bioinformatics would be desirable. Experience in mass spectrometry proteomics would be a major advantage.

You will work in a highly international, team-oriented environment and collaborate closely with external partners and other team at EMBL-EBI. Excellent communication skills are essential. The ability to work independently, under time pressure, and the dedication to communicate openly are necessary skills.

Programming skills:

Proficient programmer in Java and Python;
Good understanding and experience with Vue.js and frontend development;
Good understanding of microservice architectures, and web services and Kubernetes deployment;
Proficient understanding of indexing and database technologies and how to interact with them (e.g. Elasticsearch, MongoDB, PostgreSQL);
Good understanding of asynchronous request handling, and partial results updates on Restful web services;
Good understanding of the Spring Framework (Spring Batch, Spring Boot);
Good understanding of technologies such as JSON, XML, NoSQL and relational databases;
Good understanding of code versioning tools, such as Git.

You might also have

Experience with other backend languages such as PySpark, and FlastAPI;
Understanding about Large-language models, and their deployment in production enviroments.

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