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Bioinformatics Engineer, London

Isomorphic Labs
Location
London
Posted
16 days ago
Department
Tech
What they actually want (must-haves)
  • Proven experience with the large-scale processing of raw bioinformatics data (e.g., FASTQ, BAM, mzXML)
  • A demonstrable track record of delivering high-quality bioinformatics outputs across varied modalities (e.g., genomics, proteomics, functional genomics, systems biology, single cell)
  • Experience delivering bioinformatics solutions directly to research teams, scientific communities, or industry projects, with a strong focus on user enablement
  • Experience writing production-grade code in Python and developing automated, scalable bioinformatics pipelines
  • PhD or MSc in Bioinformatics, Computational Biology, or a related field, or equivalent practical experience in a biopharmaceutical or research environment
Nice to have
  • Experience with domain-specific workflow systems (e.g., Nextflow) for scaling high-throughput pipeline execution
  • Familiarity with general-purpose data orchestration and processing frameworks (e.g., Dagster, Apache Beam) for integrating research pipelines into a production platform
  • Familiarity with building and maintaining bioinformatics infrastructure on Google Cloud Platform (GCP)
  • Familiarity with modern, high-performance DataFrame libraries (e.g., Polars), and relational data modeling and analysis (SQL)
  • Exposure to machine learning concepts and the specific data requirements for training ML models
What the job really is

As a Bioinformatics Engineer at Isomorphic Labs, you will be responsible for developing and operating large-scale bioinformatics pipelines for high-throughput data analysis. Your role will involve harmonizing complex biological datasets, collaborating with interdisciplinary teams, and ensuring that machine learning models are trained on high-quality, standardized data. You will also provide documentation and training on data resources to support the organization’s drug discovery efforts.

Things to weigh
  • Hybrid working model requires in-office presence 3 days a week
  • Focus on collaboration and interdisciplinary work may require adaptability to different team dynamics
  • No specific salary or benefits mentioned in the posting
Job score2.8/5
Benefits1/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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