Full Stack Engineer

Full Stack Engineer

6 Months Initially

Kings Cross London, Remote Working Available

£750p/d Max via Umbrella

At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. We’re looking for a highly skilled full-stack engineer to help us make this vision a reality.

Competitive candidates will have a track record of writing and shipping quality, well-documented and well-tested web application – preferably in the AI/ML or Biomedical industry. Candidates should be comfortable with modern, cloud platforms, and with continuous development and production deployment to large user populations. Educational or professional background in the biological sciences is a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory.

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.

Key responsibilities

• Full-stack development in JavaScript/typescript for data-intensive web applications

• Integration of AI/ML API endpoints, data and compute infrastructure

• Scale up of web application using cloud infrastructure

• Responsible for high quality software implementations according to best practices, including automated test suites and documentation

• Seeing through a project from conception to finished product

• 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 products

• 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 products

Basic qualifications:

• Bachelors 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

• Proficiency in front-end languages (e.g. HTML, CSS, JavaScript/Typescript) and back-end languages (e.g. Python, Node.js)

• Experience and expertise with front-end frameworks (e.g. React, Vue, Svelte) and fullstack frameworks (e.g. Next, Nuxt, Sveltekit).

• Proficiency in using testing frameworks and libraries for both front-end and back-end. Experience with end-to-end testing is also valuable.

• Skills in database createion, integration and management using SQL (e.g. PostgresSQL, MySQL).

• 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 often

• Excellent verbal communication skills, good problem-solving skills and attention to detail

Preferred qualifications:

• Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience

• Knowledge of AI/ML approaches and deployment of AI/ML powered applications

• Experience with Docker or containerized applications

• Demonstrated experience of data visualization applications (e.g. D3.js)

• Expertise in API design and management

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