Software Engineer Data Discovery

We are looking for a dynamic Software Engineer to join the EBI Search project [PMID: ], 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. 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 Type Script;

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 No

SQL 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 £3,695 after 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.

To apply , please submit a covering letter and CV via our online system. Applications will close on 27/06/2026