Bioinformatics Engineer (Senior)

Umbilical Life; United Kingdom; On-site; GBP 45,000 - 70,000; Full time

Job summary

A leading company in the life sciences sector seeks a highly skilled Bioinformatics Engineer to enhance their bioinformatics infrastructure. This hands-on role demands expertise in Python and Nextflow to process various omics data, ensuring clean, validated outputs for research and AI models. The ideal candidate will collaborate with various teams, driving innovation in cloud-based environments.

Qualifications

• Expert Python programming skills essential.
• Experience with bioinformatics workflow management tools, especially Nextflow.
• Hands-on experience with single-cell data (e.g., scRNA-seq).

Responsibilities

• Build and maintain robust, reproducible pipelines to process raw biological data.
• Perform data quality control (QC) across multiple omics modalities.
• Develop and scale cloud-connected workflows using Python and Nextflow.

Skills

Python

Nextflow

bioinformatics workflow management tools

single-cell data

cloud-based environments

data quality control

Job description

I'm searching for ahighly skilled Bioinformatics Engineerwith a strong background inPython, Nextflow pipeline development,and a deep understanding ofmulti-omics data, particularlysingle-cell technologies.

This is a hands-on role for someone who can take raw biological data, implement robustQC and transformation pipelines, and helpscale bioinformatics infrastructureacross omics modalities.

You’ll work closely with computational biologists, data engineers, and downstream modelers to ensure data iscleaned, validated, and analysis-ready, powering foundational research and AI models across the organization.

️Your Tasks

• Build and maintainrobust, reproducible pipelinesto process raw biological data (from FASTQ to cleaned, structured outputs).
• Performdata quality control (QC)across multiple omics modalities.
• Develop and scalecloud-connected workflowsusing Python and Nextflow.
• Handle data ingestion, transformation, and validation acrosssingle-cell, spatial, proteomics, ATAC-seq, and other modalities.
• Connect pipelines tocloud-based storage and compute environments(e.g., AWS S3, Lambda, EC2, Batch) (will collaborate with Data Engineering temas
• Collaborate with data engineers to integrate cleaned data into internal databases and platforms.
• Deliver scalable workflows that supportsecondary analysis and downstream integrationacross modalities.

Your profile (essential)

• Expert Python programming skills– this is a coding-heavy role.
• Strong experience withbioinformatics workflow management tools, especiallyNextflow.
• Hands-on experience withsingle-cell data(e.g., scRNA-seq, scATAC-seq)
• Experience working with otheromics datatypes:spatial, proteomics, ATAC-seq, bulk RNA-seq, etc.
• Familiarity withQC toolsand metrics for sequencing data
• Solid understanding ofdata formatsand bioinformatics file handling.
• Experience incloud-based environments(AWS preferred): ability to pull, process, and serve data inscalable systems.
• Candidates with experience inAutomation and/or LLMs will be preferred.