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Bioinformatics Engineer (Senior)

Bioinformatics Engineer (Senior)

Umbilical LifeUnited Kingdom
14 days ago
Job type
  • Full-time
Job description

I'm searching for a highly skilled Bioinformatics Engineer with a strong background in Python, Nextflow pipeline development, and a deep understanding of multi-omics data , particularly single-cell technologies .

This is a hands-on role for someone who can take raw biological data, implement robust QC and transformation pipelines , and help scale bioinformatics infrastructure across omics modalities.

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

Your Tasks

  • Build and maintain robust, reproducible pipelines to process raw biological data (from FASTQ to cleaned, structured outputs).
  • Perform data quality control (QC) across multiple omics modalities.
  • Develop and scale cloud-connected workflows using Python and Nextflow.
  • Handle data ingestion, transformation, and validation across single-cell, spatial, proteomics, ATAC-seq , and other modalities.
  • Connect pipelines to cloud-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 support secondary analysis and downstream integration across modalities.

Your profile (essential)

  • Expert Python programming skills – this is a coding-heavy role.
  • Strong experience with bioinformatics workflow management tools , especially Nextflow .
  • Hands-on experience with single-cell data (e.g., scRNA-seq, scATAC-seq)
  • Experience working with other omics data types : spatial, proteomics, ATAC-seq , bulk RNA-seq, etc.
  • Familiarity with QC tools and metrics for sequencing data
  • Solid understanding of data formats and bioinformatics file handling.
  • Experience in cloud-based environments (AWS preferred) : ability to pull, process, and serve data in scalable systems.
  • Candidates with experience in Automation and / or LLM s will be preferred.
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    Senior Engineer • United Kingdom