Disability Solutions - San Francisco, CA
posted about 2 months ago
The Onyx Research Data Platform organization represents a significant investment by GSK in Research & Development and Digital & Tech, aimed at enhancing our capacity to utilize data, knowledge, and predictive analytics to discover new medicines. This full-stack organization encompasses product and portfolio leadership, data engineering, infrastructure and DevOps, as well as data, metadata, and knowledge platforms, alongside AI/ML and analysis platforms. Our mission is to build a next-generation data experience for GSK's scientists, engineers, and decision-makers, thereby increasing productivity and minimizing the time spent on data mechanics. We are committed to providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent, while aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time. The Application Engineer I will play a crucial role in advancing GSK's technological capabilities, focusing on the development and support of data-driven applications. This position requires a solid foundation in software engineering, emphasizing hands-on technical work. The ideal candidate will be involved in the development, deployment, and maintenance of applications tailored to 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. Staying updated on current technological trends in application development and software engineering practices is essential to ensure 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 demonstrate a strong interest in how data-driven applications can accelerate innovation and possess strong communication skills, both technical and non-technical, to liaise with stakeholders, including management, IT teams, and scientific personnel, ensuring that technology solutions align with business strategies and scientific objectives.