Senior Data Engineer (BioAI)

TL;DR

Senior Data Engineer (BioAI): Building and scaling data infrastructure and ETL pipelines for genomic datasets with an accent on cloud architecture, data curation, and ML support. Focus on designing scalable pipelines, managing data storage, and collaborating with ML and bioinformatics teams to enable advanced computational science.

Location: Remote-first with 1-4 days per month onsite in Bristol

Company

A BioAI scale-up focused on developing machine learning tools to tackle life-threatening infections by integrating genomics and biology.

What you will do

• Build and maintain ETL pipelines for genomic and life sciences data
• Design scalable infrastructure to support ML training and bioinformatics workflows
• Evaluate and implement appropriate tools, frameworks, and architectures
• Manage data storage, curation, and access across cloud and local environments
• Collaborate closely with ML engineers, software developers, and bioinformaticians
• Contribute to infrastructure strategy as the team scales

Requirements

• Proven experience building ETL pipelines and data infrastructure in production
• Hands-on work across cloud platforms (GCP preferred, with exposure to AWS/Azure)
• Strong software engineering skills with ability to choose appropriate tools and architectures
• Experience with data storage, management, and versioning at scale
• Ability to work independently and engage with stakeholders to deliver solutions
• English: B2 level or higher required

Nice to have

• Familiarity with life sciences or genomic data
• Prior experience in a start-up or mission-driven environment
• Comfort wearing a DevOps hat including infrastructure automation and CI/CD
• Exposure to AI or large language model (LLM) tools to streamline workflows

Culture & Benefits

• Core role in building data backbone of a fast-growing biotech
• Work on problems with direct real-world impact on human health
• Join a close-knit, multidisciplinary team united by a clear mission
• Company at exciting growth stage with plans to expand computer science team