Staff Engineer at AI-driven biotech research platform

Staff Engineer

AI-driven biotech research platform

You will own and evolve technical infrastructure across cloud operations, data systems, and product deployment. As a high-impact generalist, you will architect robust systems and migrate legacy infrastructure to AWS, directly enabling advanced discovery services. This role bridges the gap between internal ML research tools and production-ready APIs for external scientific users.

Location: Cambridge, USA or London, UK

Why this role is remarkable

• Full-stack ownership across backend services, frontend interfaces, and infrastructure automation without rigid corporate constraints.
• Lead the technical evolution of a core inference platform from an internal research tool to a production-ready external product.
• Design greenfield database architectures integrating complex scientific data sources to serve as the foundation for future discovery efforts.

What you will do

• Manage and scale cloud infrastructure through Terraform across multi-account AWS organizations and automated CI/CD pipelines.
• Design and implement database systems to integrate structured biochemistry data with unstructured experimental data for ML training.
• Build and harden production APIs and React frontends to transition internal models into service-oriented products for external users.

The ideal candidate

• 5+ years of software engineering experience with the ability to own complex distributed systems and data pipelines end-to-end.
• Proficiency in Python, Docker containerization, and at least one major cloud platform (AWS or GCP).
• High agency systems thinker comfortable working as a pragmatic generalist across infrastructure, backend, and developer tooling.

Required Skills

• AWS
• Backend Development
• Frontend Development
• Machine Learning
• Python
• CI/CD
• Docker
• Distributed Systems
• Terraform
• React
• GCP
• Cloud Infrastructure
• Data Pipelines
• APIs

Required Languages

English

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