Software Engineer - Data Discovery

EMBL EBI
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 40K

Job location

Tech stack

Web Interfaces
Java
JavaScript
Automation of Tests
Bash
Apache Lucene
Continuous Integration
Data Discovery
Data Integration
Relational Databases
Graph Database
Python
Machine Learning
NoSQL
Search Technologies
Software Engineering
Solr
TypeScript
Web Services
Software Organization
Scripting (Bash/Python/Go/Ruby)
Data Storage Technologies
Kubernetes
Information Technology
Atlassian Tools
Software Version Control
Docker

Job description

  • 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.

Requirements

  • 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.

Benefits & conditions

  • 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.

About the company

Working at EMBL-EBI gives you the opportunity to focus your energy and skills on something that really matters: using technology to contribute to discoveries that benefit humankind. We empower researchers everywhere to realise the potential of ‘big data’ in biology, and build sophisticated tools for exploring life at the atomic level.

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