Join a high-velocity team building AI software that automates complex laboratory analytical processes. You will take ownership of the full product lifecycle, from designing React interfaces and Python APIs to managing Kubernetes infrastructure on GCP. This role is pivotal in scaling our platform from pilot stages to full-scale production for life science customers.
Senior Full Stack Engineer at ScienceMachine
Are you a Senior Full Stack Engineer ready to build at the intersection of Agentic AI and life sciences? This London-based startup is automating complex bioanalysis workflows, replacing manual processes with intelligent, repeatable software. You will own the full stack—from React and Python to Kubernetes on GCP—as you help scale a platform that scientists use every day to accelerate discovery. If you thrive in high-ownership environments and want to build infrastructure that powers the future of laboratory science, this is your next career-defining move.
About this role
Role overview
About the company
ScienceMachine
At ScienceMachine, our goal is to accelerate biomedical discovery, by developing AI systems that help scientists put large parts of their research on autopilot, starting from data analysis.
We created Sam, the first AI Bioinformatician, which structures, analyzes, and uncovers new insights in your research data, dramatically enhancing your R&D capabilities.
Sam builds and maintains customized data workflows for your company, quickly learns about your specific scientific needs, and works around the clock to support your research.
What you'll do
What you will do
- Develop and maintain product features using React, Next.js, and TypeScript while designing robust Python backend services.
- Design and manage PostgreSQL databases, ensuring high performance for complex scientific data modeling and schema migrations.
- Build and scale production infrastructure on GCP using Terraform and Kubernetes, ensuring the reliability and security of customer workloads.
Who you are
Who this is a fit for
- Proven full stack expertise with React, TypeScript, and Python, coupled with a track record of owning systems from design to deployment.
- Significant experience managing cloud-native infrastructure, specifically using Terraform to orchestrate production Kubernetes environments on GCP.
- A product-focused mindset with the ability to navigate ambiguity, communicate technical trade-offs clearly, and a genuine curiosity for scientific domain challenges.
Why this role
Why this role is remarkable
- Impact the frontier of science by building agentic AI that transforms how bioanalysis teams handle data ingestion, reporting, and regulatory compliance.
- Gain deep ownership across the entire stack, moving fluidly between user-facing feature development and mission-critical cloud infrastructure management.
- Work in an environment that prizes pragmatism and speed, where your technical decisions directly shape the engineering culture of a fast-growing laboratory automation startup.
Jack & Jill
How Jack & Jill work together
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.