Bioinformatics Engineer: Build Scalable Genomics Workflows

Optima Partners; City of Edinburgh; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Competitive base salary

Discretionary bonus up to 15%

37 days holiday (including Christmas &

Private medical insurance

Group life and income protection

Salary sacrifice pension

Job summary

bioXcelerate is seeking a Bioinformatics Engineer/Developer to build and maintain reproducible bioinformatics workflows for diverse drug discovery projects. You will work with statisticians, computational biologists and engineers to analyse genomic and omics data, and to deliver scalable analyses for high-performance or cloud environments.

The role emphasizes practical coding in Python and R, workflow automation with Nextflow, and collaboration with domain experts to produce reliable outputs for

Qualifications

• MSc or equivalent experience in Computer Science, Bioinformatics, Computational Biology, Statistical Genetics or related field.
• Practical coding in Python and R; clear maintainable code.
• Experience analysing genomic or omics datasets (WGS/WES/RNA-seq).
• Exposure to workflow development; Nextflow preferred; WDL/Snakemake/CWL valuable.
• Familiarity with HPC and/or cloud computing environments; interest in expanding these skills.
• Version control with Git; good documentation, testing and reproducibility.
• Ability to communicate technical concepts to computational and scientific audiences.
• Interest in secure research environments; data infrastructures; beneficial but not essential.
• Exposure to Docker or Singularity is advantageous.
• Familiarity with population genetics or genomics concepts would be beneficial.
• Interest in data engineering, data visualisation, and infrastructure as code.
• Experience in pharma/biotech or cross-functional teams with client-facing communication.

Responsibilities

• Develop, maintain and improve bioinformatics workflows for genomic and omics datasets.
• Build reproducible analysis pipelines using Nextflow; exposure to CWL/Snakemake/WDL valuable.
• Analyze population genomics and sequencing data using Python, R and Bash.
• Contribute to robust pipelines for HPC or cloud (AWS, GCP, Azure).
• Collaborate with internal experts to deliver reliable analyses supporting decisions.
• Prepare client-facing outputs and explain methods under guidance.
• Follow best practices for version control, documentation, testing and deployment.
• Support data organisation, quality control and dataset management across projects.

Skills

Python

R

Nextflow

Bash

Git

Education

MSc or equivalent in Computer Science / Bioinformatics

Tools

Docker

Singularity

Git

Cloud (AWS/GCP/Azure)

Job description

bioXcelerate is seeking a Bioinformatics Engineer/Developer to build and maintain reproducible bioinformatics workflows for diverse drug discovery projects. You will work with statisticians, computational biologists and engineers to analyse genomic and omics data, and to deliver scalable analyses for high-performance or cloud environments.

The role emphasizes practical coding in Python and R, workflow automation with Nextflow, and collaboration with domain experts to produce reliable outputs for