Bioinformatics Engineer - Scalable Plant Data Pipelines

Ellison Institute of Technology Oxford

Oxford

On-site

GBP 60,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Travel allowance

Bonus

Pension

Life Assurance

Income Protection

Private Medical Insurance

Hospital Cash Plan

Perk Box

Electric Car Scheme

Childcare benefit

Job summary

The Ellison Institute of Technology (EIT) Oxford invites applications for a Bioinformatics Engineer to join the Bioinformatics platform team. You will build computational tools for plant biology workflows, collaborating with phenotyping and research groups to accelerate plant science research.

You will work on data movement from lab instrumentation to analysis, ensuring reliable, structured data and reproducible workflows.

Qualifications

BSc/MSc in Bioinformatics, Computer Science, or a related field and proven experience working in a compute platform environment.
Proven experience developing and maintaining bioinformatics pipelines in a research or scientific environment.
Strong programming and scripting skills, with experience in writing production-quality, well-documented code.
Demonstrated ability to work collaboratively with biologists, data scientists, and infrastructure teams to deliver research outcomes.
Experience handling and processing large, complex datasets (e.g. genomic, transcriptomic, or phenotyping data).
Good understanding of bioinformatics file formats, tools, and databases (e.g. FASTQ, BAM/VCF, BLAST, reference genomes).
Experience with workflow management systems (e.g. Nextflow, Snakemake) for building scalable, reproducible pipelines.
Experience designing data integration/ ETL processes.
Awareness of data and pipeline engineering standards and willing to advocate for the adoption of best practices.
Understanding of relational and/or non-relational databases for storing and querying biological data.

Responsibilities

Develop and manage the bioinformatics data and pipeline infrastructure, including versioning, deployment processes, and compatibility across compute environments.
Oversee the design and development of scalable nextflow pipelines for processing omics data, either through direct development or by guiding others.
Design production-grade ETL processes to integrate data from various sources into the Bioinformatics platform.
Define and implement processes for pipeline performance monitoring, troubleshooting, and resource optimisation.
Document pipelines, infrastructure, and workflows to support reproducibility and knowledge-sharing across the team.
Collaborate with bioinformaticians and systems administrators to align infrastructure and workflow solutions with research needs.