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Bioinformatician
Job in
Cambridge, Cambridgeshire, CB10 1SA, England, UK
Listed on 2026-09-01
Listing for:
EMBL-EBI
Contract
position Listed on 2026-09-01
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
Ensembl Microbes is also part of EMBL-EBIs Microbiome Informatics team, which develops the MGnify resource and AMR Portal , providing opportunities for collaboration on shared datasets and methods. We are also active partners in international collaborations to support the annotation and dissemination of microbial genomes. The Microbiome Informatics team is led by Rob Finn, who also oversees the Ensembl resource.
You will report directly to Tatiana Gurbich, the Microbial Genomes Project Lead. Main Duties and Responsibilities In this role you will:
Maintain the microbial genomes in Ensembl, including identifying and loading new genome annotations, ensuring data is presented correctly, and diagnosing and resolving issues promptly Coordinate releases within a release-based environment, working closely with other Ensembl subteams Identify and assess new genome annotation tools, especially those that are specific to microbial taxa, to provide specific annotations that go beyond the default annotations provided by Ensembl Contribute to the development of our functional annotation pipelines and help shape representation of microbial functional annotations in Ensembl Design, build and test technical solutions to make processes more efficient Create and maintain clear, up to date documentation Contribute to code reviews and team meetings Interact with other groups at EMBL-EBI and external collaborators, data generators and user communities, representing the team's work Person Specification Essential A Masters degree in bioinformatics, biology, computer science or related field, or equivalent experience Knowledge of prokaryotic and/or microbial eukaryotic biology Strong Python skills, with demonstrable ability to write production-quality code Experience building computational pipelines with Nextflow, Snakemake or similar
Experience with relational databases (e.g. MySQL, PostgreSQL), UNIX/Linux, and HPC or cloud environments Experience applying genome analysis/annotation tools and working with common bioinformatics formats (e.g. FASTA, GFF3)
Experience with software development best practices, including version control (e.g. Git), testing and code review Familiarity with AI-assisted coding tools, and an understanding of how to critically evaluate, validate, and improve their outputs Excellent interpersonal and communication skills, with the ability to communicate effectively in English, both verbally and in writing Strong attention to detail and commitment to producing accurate, reproducible work Ability to work independently and collaboratively as part of a team, prioritise tasks, and take ownership of projects from development through to delivery Desirable Hands-on experience with the Ensembl platform or other genome browser Experience working in a multi-person team delivering production services
Experience with large-scale biological datasets Experience working with the Apache Parquet file format Experience implementing AI/ML approaches for quality control and/or genome annotation Behaviours we value in our team:
You bring curiosity, enthusiasm, and a focus on impact to your work. You enjoy turning ideas into well-executed solutions, are able to manage multiple priorities, and collaborate effectively with colleagues across multidisciplinary and international teams. Other helpful information Contract length : 3 years Salary:
Grade 5, monthly salary from £3,452.05 after tax, plus generous financial benefits based on family circumstances. Excl. personal pension…
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