Your role This is an exciting opportunity to make a significant contribution by delivering data portals for several world leading projects tackling global sustainability and biodiversity challenges including: Ancient Environmental Genomic Initiative for Sustainability ( https://aegisearth.bio/en ). Functional Annotation of Animal Genomes (FAANG) ( https://www.faang.org ) European Reference Genome Atlas ( https://www.erga-biodiversity.eu/ ), TRansversing European Coastlines ( https://www.embl.org/about/info/trec/ ) You will be responsible for support and development of software to handle data curation, coordination, validation, distribution and visualisation of agriculture, aquaculture and biodiversity data.
You will work with large scientific communities to define and implement metadata standards, develop software to validate and improve data descriptions and develop, build new project specific portals, and extend existing web data portals to meet the specific needs of each consortium. The data portals will include Application Programming Interfaces (APIs) and bespoke data visualisation and presentation solutions.
You will also contribute to our growing "question in → insight out" initiative, exposing consortium data through MCP servers and agent-based interfaces so that researchers can ask scientific questions in natural language and get back analysis, not just download links. You will also support efforts for the development of standardised containerised workflows and cloud platform integration.
Reporting to our Genome Analysis Team Leader, you'll be part of a high performing team enjoying many opportunities to engage with data generators, project users, and collaborators. As part of this you will provide valuable guidance and support on the utilisation of the team's software and support users to provide rich metadata descriptions. You will work with a range of data archives at EMBL-EBI, including the ENA and BioSamples, to support each project and community in sharing and gaining access to well described, high quality sample and genomic data.
You have A BSc or MSc in computer science or related fields Expertise in Python, including popular Python libraries: NumPy, Pandas, PySpark and frameworks: Django, Django Rest Framework, FastAPI Hands-on experience with both relational (e.g. PostgreSQL) and non-relational databases (e.g. Elasticsearch, Redis) Extensive experience in data warehousing architecture, big data processing and ETL Demonstrable expertise in Unix/Linux environments Experience with GIT and working in collaborative software environments Willingness to learn new skills as required by the project A self-motivated work ethic and be capable of working both independently and as part of a team Excellent communication, interpersonal and English language skills You may also have Experience developing or maintaining web-based applications (html, css, Javascript frameworks such as Angular, React) Cloud (GCP or AWS) and popular cloud Big Data tools - BigQuery, Dataflow, Looker Hands on containerisation experience (Docker or similar) and orchestration (e.g.
with kubernetes) Experience processing of biological archive data Tests and CI/CD Curiosity or experience with LLM APIs, agent frameworks, MCP, or retrieval-augmented systems - we are actively building in this space and welcome enthusiasm here even without prior production experience Contract length: 2 years grant funded fixed term contract. Salary: Grade 5, or 6 depending on experience. Grade 5: monthly salary from £3,452.05, or, Grade 6: monthly salary from £3,861.91 after tax plus financial allowances based on family circumstances.
Excluding personal pension and insurance contributions. Why join us Do something meaningful At EMBL-EBI you can apply your talent and passion to accelerate science and tackle some of humankind's greatest challenges. EMBL-EBI, part of the European Molecular Biology Laboratory, is a worldwide leader in the storage,