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# Bioinformatics Engineer/Developer

- **Company:** Arebioxcelerate
- **Location:** Banavie, UK
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Bioinformatics, Cloud Computing, Computational Biology, Information Engineering, Data Visualization, Revision Control Systems, Python (Programming Language), Population Genetics, Workflow Management Systems, Cloud Platform System, Git, Information Technology, Software Coding, Software Version Control, Docker
- **Published:** September 24, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/bioinformatics-engineerdeveloper/48177076

## About the Role

experts to deliver reliable analyses that support project decision-making.Help prepare client-facing outputs, explain methods and contribute technical input to delivery work under guidance.Follow and contribute to best practices for version control, documentation, testing and deployment.Support data organisation, quality control and dataset management across projects.What skills we would like you to haveMSc or equivalent experience in Computer Science, Bioinformatics, Computational Biology, Statistical Genetics or a related field; a PhD is welcome but not required.Practical coding skills in Python, R and bash, with an interest in writing clear, maintainable code.Experience analysing genomic or omics datasets such as WGS, WES, variant data, RNA-seq or other sequencing data.Exposure to workflow development or automation; Nextflow experience is preferred, with WDL, Snakemake or CWL also valuable.Familiarity with HPC systems and/or cloud computing environments, or a strong interest in
developing these skills.Familiarity with version control tools such as Git, and an understanding of good documentation, testing and reproducibility practices.Ability to communicate technical concepts clearly to computational and scientific audiences.Interest in working with secure research environments, trusted research environments or complex data infrastructures; prior experience is beneficial but not essential.Exposure to containerisation tools such as Docker or Singularity would be advantageous.Familiarity with population genetics or genomics concepts such as variant QC, population structure or association methods would be beneficial.Interest in data engineering approaches, data visualisation, cloud infrastructure-as-code or communicating analytical results clearly.Experience working in pharma, biotech or cross-functional scientific teams, including stakeholder or client-facing communication, would be beneficial.This is an exciting opportunity to contribute to

## Description

who enjoys building reproducible analyses and scalable workflows.As part of bioXcelerate's delivery team, you will work closely with experienced statisticians, computational biologists and bioinformatics engineers internally, and may contribute to biotech or pharma client projects as part of a supported delivery team. You will be encouraged to learn from senior colleagues while contributing practical technical capability to high-quality scientific programmes.What you will be doingDevelop, maintain and improve bioinformatics workflows for genomic and omics datasets, with support from senior team members where appropriate.Build reproducible analysis pipelines using workflow tools such as Nextflow, with exposure to WDL, Snakemake or CWL also valuable.Analyse population genomics, multi-omics and sequencing datasets using Python, R and bash.Contribute to robust, scalable pipelines suitable for HPC or cloud environments including AWS, GCP or Azure.Work collaboratively with internal domain


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