Senior Bioinformatics Data Engineer

THE COMPANY

This pioneering Oxford-based biotech is unlocking the non-coding genome to understand the root causes of human disease and enable new therapeutic targets. Combining high-throughput functional genomics with advanced computation and machine learning, the company’s platform integrates vast, complex datasets to drive precision drug discovery.

As Senior Bioinformatics Data Engineer, you will design, build, and maintain robust data systems that manage the flow of large-scale functional genomics data from raw, unstructured lab outputs to structured, accessible datasets used for analysis and decision‑making. You’ll collaborate with bioinformaticians, machine learning specialists, and software engineers to ensure scalability, reliability, and performance across the entire data ecosystem.

• Develop and manage core data infrastructure enabling automated data flows from lab data to analytics‑ready formats.
• Build and optimise scalable biological data processing pipelines (Nextflow, Seqera).
• Maintain and develop cloud-based infrastructure with high uptime, failsafes, and modern Dev Ops/Data Ops practices.
• Implement data modelling solutions across relational and non‑relational databases (Postgre
  
  SQL, Elasticsearch).

You’ll thrive in this role if you have:

• Industry experience within biotech, pharma, or large‑scale computational research.
• Expertise using Dagster and Nextflow.
• Experience designing and implementing scalable data pipelines for biological data.

This role can be hybrid or remote with monthly office commitments.

If you’re ready to shape the data backbone of a platform redefining genomic discovery, apply now!

I look forward to hearing from you!

Mid‑Senior level

Full‑time

Engineering and Science

Biotechnology Research and Pharmaceutical Manufacturing