Bioinformatics Engineer, London

1 day ago

London, United KingdomSenior

Responsibilities

Develop and operate large-scale bioinformatics pipelines that process raw FASTQ, BAM, and mzXML data into ML-ready datasets.
Ingest, harmonize, version, and map disparate biological datasets while preventing identifier collisions, data loss, and semantic drift.
Standardize bioinformatics data primitives and promote adoption of the internal bioinformatics platform across research workflows.
Partner with ML Research, Computational Biology, Drug Development, and Chemistry teams as a deployed engineer to deliver customized solutions and feed improvements back into the core platform.
Document data resources and curation processes and provide guidance and training to the wider organization.

Proven experience processing raw bioinformatics data at large scale across modalities such as genomics, proteomics, functional genomics, systems biology, and single-cell data.
Experience delivering bioinformatics solutions directly to research teams, scientific communities, or industry projects with a focus on user enablement.
Production-grade Python development experience and experience building 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.
Preferred experience includes Nextflow, Dagster, Apache Beam, Google Cloud Platform, Polars, SQL, machine-learning data requirements, regulated PHI data, and extensive Python software development experience.

Hybrid working requires attendance in the office three days per week, currently Tuesday, Wednesday, and one additional team-dependent day.
The company offers accommodation discussions for candidates whose additional needs affect the hybrid arrangement.
The company is committed to equal employment opportunities and provides accommodations for disabilities or additional needs.

201-500 employees