The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:

• Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on “data mechanics”
• Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent
• Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time

The Application Engineer 1 will contribute to the technological advancement of GSK, focusing on the development and support of data-driven applications. This role requires a solid foundation in software engineering with an emphasis on hands-on technical work. The ideal candidate will be involved in the development, deployment, and maintenance of applications that meet the needs of our scientific user base. Responsibilities include collaborating with cross-functional teams to understand user requirements, assisting in the design of scalable and efficient application architectures, and integrating data analytics tools to enhance application functionality.

The role involves staying updated on current technological trends in application development and software engineering practices, ensuring that applications are reliable and meet evolving demands.

The Software Engineer will also participate in code reviews, testing, and troubleshooting to ensure the security and performance of applications. The role encompasses the maintenance and support of existing applications, focusing on high availability, reliability, and optimal performance. The ideal candidate should have a demonstrated ability to work on application development and a strong interest in how data-driven applications can accelerate innovation. Strong communication skills, both technical and non-technical, are essential for liaising with stakeholders, including management, IT teams, and scientific personnel, to ensure that technology solutions align with business strategies and scientific objectives.

Key responsibilities for the Application Engineer I include:

• Contribute to the development, deployment, and maintenance of full-stack, data-driven, cloud applications that serve our scientific community.
• Develop, measure, and monitor key metrics for all applications and services and consistently seek to iterate on and improve them.
• Operate and support applications deployed in a production environment.
• Take loosely defined mock-ups and producing rapid MVPs through to production grade experiences.
• Work with product teams on product roadmaps and developing end user requirements.

Why you?

Basic Qualifications:

We are looking for professionals with these required skills to achieve our goals:

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 2+ years of experience in front end technologies: JavaScript, Typescript, React.js, Angular.js or similar.
• 2+ years of experience with at least one common web backend language: e.g., Python, Scala, Java, Javascript (Node.js) including toolchains for documentation, testing, and operations / observability.
• 2+ years of experience with modern software development tools / ways of working (e.g. git/GitHub, DevOps tools, metrics / monitoring, ...)

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

• Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, Azure
• Experience in an open-source web framework preferably implemented in JS, TypeScript, Python, Java, Scala, or similar.
• Experience with Authentication & Authorisation Mechanisms e.g OAuth2·Application experience of CI/CD implementations using git and a common CI/CD stack (e.g., Jenkins, CircleCI, GitLab, Azure DevOps
• Experience in agile software development and common environments such as Jira and Confluence
• Knowledge of database modelling, database concepts and SQL·Experience with data visualization frameworks like D3.js, Plotly, Matplotlib, or similar