Full-Stack Software Engineer - AI Platform for Life Sciences

Azienda: ScienceMachine

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At ScienceMachine, we build AI that accelerates the development of new medicines and advance scientific discovery more broadly. Our platform automates biomedical research workflows, helping researchers spend less time doing the tedious, repetitive work that comes with it. As a fast-growing startup, ScienceMachine is already deployed at life sciences organisations worldwide, and has introduced BixBench, the leading benchmark for AI agents in computational biology. We’re a team of 7, backed by top VCs and multinational enterprise clients.

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THE ROLE

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You will own full-stack development across our AI platform — from frontend interfaces to backend services and cloud infrastructure — directly shaping the technical foundation of a fast-growing startup building agents for the life sciences industry.

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WHAT YOU'LL DO

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● Build and iterate on frontend interfaces for AI agent workflows using modern web frameworks.

● Design and implement backend services in Python to support AI-driven features and integrations.

● Manage and scale cloud infrastructure on Google Cloud, ensuring reliability and performance in production.

● Collaborate with the CTO and research team to integrate new AI capabilities into the core platform.

● Contribute to architectural decisions as the engineering team scales, with a clear path toward a tech lead role.

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TECHNICAL CONTEXT

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● Stack: Python (backend and AI), modern frontend frameworks, Google Cloud.

● Tools: Docker and Terraform (nice to have).

● Domain: AI agent infrastructure for life sciences and pharma workflows.

● Environment: ~7-person team, fast iteration cycles, startup pace.

● Constraints: production-grade reliability, accuracy, and latency in AI pipelines.

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WHO WE'RE LOOKING FOR

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ESSENTIAL REQUIREMENTS

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● Proven experience building full-stack applications, with strong and demonstrable frontend skills (React or equivalent).

● Solid backend development in Python and hands-on experience with cloud infrastructure, preferably Google Cloud.

● Comfort working in a fast-paced startup environment with evolving priorities and a shifting technical focus.

● Full professional fluency in English — all interviews and day-to-day work are conducted in English.

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PREFERRED REQUIREMENTS

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● Background in biotech, pharma, or life sciences software.

● Experience with Docker and/or Terraform.

● Previous experience in a small engineering team or early-stage startup.

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WHAT WE OFFER

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● Location: London, 5 days per week on-site (occasional flexibility available).

● Salary package: £80k–£120k base + 0.1%–0.3% equity — offered across three structures that balance fixed compensation and equity weight differently, so you can choose what fits your situation.

● Visa sponsorship available for candidates relocating internationally.

● Relocation support: no formal package, but practical help connecting with housing and local networks in London.

● Direct report to the CTO, with a structured path toward a tech lead role as the team scales post-funding.