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.
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!
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Science
Industries
Biotechnology Research and Pharmaceutical Manufacturing
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