Ensembl Microbes Bioinformatician
Job in
Cambridge, Cambridgeshire, CB21, England, UK
Listing for:
EMBL-EBI - European Bioinformatics Institute
Full Time
position
Listed on 2026-11-02
Job specializations:
-
Software Development
Job Description & How to Apply Below
Ensembl Microbes Bioinformatician
EMBL-EBI - European Bioinformatics Institute
Hinxton, United Kingdom
From GBP 3,452.05 per month
Main Duties and Responsibilities- 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
- 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
- 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
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