Full Stack Software Engineer Full Stack Software Engineer

The location of the role is London (hybrid working). The duration of the contract is 6 months. The pay rate on offer is £750 - £880 per day (via Umbrella - inside IR35).

Key responsibilities

Front end implementation for a React application Visualizing and interacting with scientific data and workflow progression Integration of AI/ML components with frontend, backend, data and compute infrastructure Responsible for high quality software implementations according to best practices, including automated test suites and documentation Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them Participate in code reviews, continuously improving personal standards as well as the wider team and product Liaise with other technical staff and data engineers in the team and across allied teams, to build an end-to-end pipeline consuming other data productsBasic qualifications:

5+ years' experience with frontend software development (e.g. React) Demonstrated experience of Python development (e.g. using FastAPI) Bachelor's degree in a relevant field (including computational, numerate or life sciences), or equivalent experience Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential Strong skills in JavaScript/TypeScript and Python, ensuring best practices are followed for clean and scalable code Demonstrated ability to work directly with designers, particularly using Figma, to convert design prototypes into engaging and interactive applications Experience in using automated testing tools, including Playwright and Cypress, to create, maintain, and execute comprehensive test suites Sound understanding of web development best practices, modern design principles, and continuous integration workflows Knowledge of agile practices and able to perform in agile software development environments Strong knowledge of modern software development tools / ways of working (e.g. git/GitHub, DevOps tools for deployment) - should be able to show practice of commit early and deploy oftenPreferred qualifications:

Experience with Docker or containerized applications, especially architecture of multi-container applications Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience, especially design of data visualisations Knowledge of agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen)