ScienceMachine
Senior Full Stack Engineer
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ScienceMachine is building reliable, compliant AI for regulated drug development.
We believe the healthcare system needs a step change in productivity: far more medicines developed far faster, so more patients can live free from disease.
But drug development cannot be “vibe-coded.” In a regulated environment, AI must be trustworthy, verifiable, and compliant by design. That’s why we build frontier AI automation that can be deployed in real drug-development workflows, with the goal delivering 10× more medicines, 10× faster.
About the role
We are looking for a Senior Full Stack Engineer to join our founding team and take ownership of both product and infrastructure development. This role is for you if you are looking for a broad, hands-on engineering role, moving between user-facing product work, backend API design, cloud infrastructure and deployment pipelines.
You will work close to the core product: building interfaces scientists use every day, designing the systems that run agentic workflows, and hardening the platform as it moves from pilots into production customer environments.
What you'll do
- Build product features across React, Next.js, and TypeScript.
- Design, build, and maintain backend Python backend services and APIs; build and maintain infrastructure using Terraform, Docker and Kubernetes, on GCP.
- Improve the reliability, scalability, and maintainability of production systems.
- Listen to user feedback, identify product opportunities, design practical solutions, test them with users, and ship improvements quickly.
- Work both independently and as part of a team on multiple projects in parallel and delivering them on a tight schedule using any tool you may see fit, including AI-assisted coding.
- Work with scientists, customers, and the wider team to turn real-world workflows into robust product capabilities.
- Help shape engineering practices in a small, fast-moving technical team.
- Make pragmatic technical decisions across the full stack, balancing product speed with long-term system quality.
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Your experience that we are looking for:
- Experience working at an early-stage start up (as founder or early-employee).
- 5+ years of full stack engineering experience with Python backend/API development, modern React, Next.js, TypeScript, and backend REST APIs.
- PostgreSQL experience, including schema design, migrations, indexing, and data modelling; managing cloud infrastructure with Terraform; running production workloads on GCP and Kubernetes.
- Strong CI/CD and Git workflow experience.
- Experience owning software products end to end, from design and implementation through deployment, monitoring, and debugging.
- Experience supporting and maintaining production services, including complex system migrations with minimal downtime.
- Comfort working in ambiguous, fast-moving environments where product and technical requirements evolve quickly.
Nice to have
- Experience in life sciences, biomedical research, bioinformatics or scientific computing workflows.
- Experience building agentic AI systems, and sandboxed execution environments for LLM-based workflows.
- Experience with security, access control, RLS, authorisation, or compliance-conscious product development.
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Soft skills we are looking for:
- High ownership: you notice what needs doing and carry it through.
- Product-minded: you care about whether scientists can actually use what you build.
- Systems-minded: you can reason across frontend, backend, database, infrastructure, and deployment boundaries.
- Pragmatic: you choose simple, robust solutions and avoid unnecessary abstraction.
- Reliable under ambiguity: you can make progress when requirements are incomplete.
- Security-conscious: you understand the importance of permissions, auditability, and data boundaries.
- Clear communicator: you can explain technical decisions to engineers, scientists, and founders.
- Curious about science: you do not need to be a biology expert, but you should want to learn the domain.
What we offer
- Competitive salary and share options in the early stage of a fast-growing startup.
- Private health insurance.
- Regular team events and lunches.
- Fast-moving startup environment with a passionate team who enjoy solving problems.
Science Machine is an equal-opportunity employer committed to providing a working environment that embraces inclusion, diversity, and belonging. We do not discriminate on the basis of race, colour, sex, sexual orientation, gender identity, age, disability, or any other physical characteristic during recruitment or employment.
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