Overview

GlaxoSmithKline (GSK) is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together.

Position Summary

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.

The ideal person for this role will have a track record of writing and shipping quality, well-documented and well-tested software – preferably in the AI/ML industry. They should be comfortable with modern, cloud-native computing, and with continuous development and production deployment on cloud platforms 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

• 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 products.

Minimum Requirements

• 5+ years experience with frontend software development (e.g. React).
• Demonstrated experience of Python development (e.g. using FastAPI).
• 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 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 often.

Preferred Requirements

• 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).

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Inclusion at GSK

GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.

If you need any adjustments in the recruitment process, please get in touch with our Recruitment team (EMEA-GSKLink@allegisglobalsolutions.com) to further discuss this today.

Important notice to employment businesses/agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

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