Senior Bioinformatics Data Engineer

Senior Bioinformatics Data Engineer

Are you a data engineer passionate about turning large-scale genomic data into actionable biological insight? Join a cutting-edge biotech at the forefront of functional genomics and therapeutic discovery.

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 part of a cross-disciplinary Computational team, you’ll help expand and scale the data infrastructure that powers these discoveries, working at the interface of bioinformatics, data engineering, and software development.

THE ROLE

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.

Key Responsibilities:

• 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 DevOps/DataOps practices.
• Implement data modelling solutions across relational and non-relational databases (PostgreSQL, Elasticsearch).

ABOUT YOU

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!