More jobs:
Bioinformatician
Job in
Cambridge, Cambridgeshire, CB10 1SD, England, UK
Listing for:
EMBL-EBI
Contract
position
Listed on 2026-11-04
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
We collaborate closely with bioinformaticians, software engineers and project leaders across Ensembl to develop new features, manage data flows and ensure reliable data delivery. Ensembl Microbes is also part of EMBL-EBI's Microbial 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 Microbial 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 Contribute to the development of approaches for representing microbial pangenomes 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 PhD in bioinformatics, biology, computer science or a related field, or a Master's degree in a relevant field combined with equivalent professional experience Knowledge of prokaryotic and/or microbial eukaryotic biology Strong Python skills, with demonstrable ability to write, understand and independently review 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…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).