We are looking for a dynamic Software Engineer to join the EBI Search project [PMID: 40322924], a scalable text search engine providing easy and uniform access to the biological data resources hosted at the European Bioinformatics Institute (EMBL-EBI).
EBI Search provides the central discovery infrastructure indexing more than 6 billion data objects across EMBL-EBI and external resources. It enables search and cross-linking across more than 100 biological data domains via web interfaces and RESTful APIs. You will join a team of software developers working together to support scientific research and FAIR data access across multiple disciplines.
Your role
In this exciting role you will contribute to:
* Integration and indexing of biological data and metadata, and provision of these through user-friendly web interfaces and web services for the international research community;
* Development of new features within an established and evolving codebase;
* Integration of the search platform with emerging AI technologies to enhance data discovery and improve user experience;
* Development of lightweight and efficient approaches for integrating data from multiple domains;
* Collaboration with colleagues across EMBL-EBI, applying industry-standard best practices to create and maintain efficient, reusable and well-documented software.
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You have
* A degree in Computer Science or a related field;
* A minimum of two years experience in software development;
* Good knowledge of Java;
* Experience with JavaScript and/or TypeScript;
* Experience with scripting languages such as Python and Bash;
* Good communication skills;
* Familiarity with modern software development practices and tools, including version control systems, CI/CD pipelines and automated testing.
You may also have
* Experience in biomolecular or biomedical data and metadata integration;
* Working knowledge of Solr, Lucene or Lucene-based search technologies;
* Knowledge of Docker, Kubernetes or other deployment technologies;
* Knowledge of additional data storage technologies, including relational databases, graph databases and NoSQL systems;
* Familiarity with Linux/Unix environments;
* Experience with collaborative development tools such as Jira and Confluence;
* Experience with machine learning approaches, ideally in the context of data discovery.
Apply now! Benefits and Contract Information
* Financial incentives: depending on circumstances, monthly family/marriage allowance of £278 monthly child allowance of £336 per child. Non resident allowance up to £569 per month. Annual salary review, pension scheme, death benefit, long-term care, accident-at-work and unemployment insurances
* Hybrid working arrangements
* Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover)
* Generous time off: 30 days annual leave per year, in addition to eight bank holidays
* Relocation package including installation grant (as applicable)
* Campus life: Free shuttle bus to and from work, on-site library, subsidised on-site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely)
* Family benefits: On-site nursery, child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances
* Contract duration: This position is a 3 year contract
* Salary: Monthly salary starting at £3,303 or £3,695after tax (but excl. pension & insurances) + benefits (Total package will be dependent on family circumstances)
* International applicants: We recruit internationally and successful candidates are offered visa exemptions. Read more on our page for international applicants.
* Diversity and inclusion: 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.
* Job location: This role is based in Hinxton, near Cambridge, UK. You will be required to relocate if you are based overseas and you will receive a generous relocation package to support you.
* How to apply: To apply please submit a cover letter and a CV through our online system before the closing date.
* DORA - EMBL is a signatory of DORA and is committed to hiring and training outstanding research, service, and administrative personnel. xsngvjr
To apply, please submit a covering letter and CV via our online system. Applications will close on 27/06/2026