Bioinformatics Engineer, London

Overview

In this role you will help build a robust, scalable bioinformatics data platform to power AI-driven drug discovery. You collaborate with ML Research, Computational Biology, Drug Development, and Chemistry teams to turn raw biological data into high-quality, standardized datasets for model training. You’ll harmonize public and internal data sources and contribute to a production-ready bioinformatics platform that accelerates research programs. This is a mission-driven role in a cross-disciplinary, innovation-focused culture.

Responsibilities

• Develop and operate large-scale bioinformatics pipelines from raw data to ML-ready datasets
• Ingest and harmonize complex datasets with best practices for data quality and versioning
• Harmonise public databases (Ensembl, UniProt, Reactome, Open Targets) with robust mapping to prevent data issues
• Partner with ML Research, Computational Biology, Drug Development, and Chemistry teams to promote standardized data primitives
• Contribute as a Deployed Engineer on research projects, delivering tailored solutions and feeding insights back to the core platform
• Provide documentation, guidance, and training on data resources and curation processes

Key requirements

• Proven experience with large-scale processing of raw bioinformatics data (e.g., FASTQ, BAM, mzXML)
• Track record of delivering bioinformatics outputs across modalities (genomics, proteomics, functional genomics, systems biology, single cell)
• Experience delivering bioinformatics solutions to research teams or industry projects with a focus on user enablement
• Production-grade coding in Python and building automated, scalable bioinformatics pipelines
• PhD or MSc in Bioinformatics, Computational Biology, or related field, or equivalent practical experience

• Cross-functional collaboration
• User enablement and communication to non-specialists
• Problem-solving and proactive initiative
• Python (production-grade)
• Bioinformatics pipelines
• Nextflow (Nice to have)

…