Senior Principal Software Engineer - R&D Tech

Site Name: UK - London - New Oxford Street, USA - Pennsylvania - Upper Providence
Posted Date: Jan 16 2026

GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver 40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centered on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems.

Our diverse portfolio consists of vaccines, specialty medicines, and general medicines. Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.

R&D at GSK is highly data-driven, and we're applying AI/ML and data engineering to generate new insights, enable analytics, gain efficiencies and automation.

This role is in R&D Technology where you'll architect and build production-grade applications and data platforms. You'll work on diverse projects spanning regulatory, clinical, legal and HR domains. Versatility is key, with an ability to quickly understand domain data and requirements and translate them into robust technical solutions. You will interact with architects, software and data engineers, AI/ML modelers, product owners as well as other team members across R&D.

You will actively participate in creating technical solutions, designs, implementations and participate in the relentless improvement of R&D Tech systems in alignment with agile and Dev Ops principles.

We're seeking a Senior Principal Software Engineer with broad expertise across software development, data engineering, cloud architecture, and AI/ML technologies. This is a hands‑on technical role where you'll spend the majority of your time writing code, building data pipelines, architecting cloud‑native solutions, and integrating AI/ML capabilities into production applications. You'll be a versatile engineer who can work across the full stack, understand data flows, leverage cloud services effectively, and apply AI/ML techniques to solve real‑world problems.

• Write production‑grade code for full‑stack applications using Python and modern frontend frameworks

• Build and maintain scalable REST APIs and microservices architectures

• Design application architectures and implement technical solutions

• Develop user interfaces and data visualization components

• Write comprehensive tests and ensure code quality

• Debug and optimize application performance

• Design and architect cloud‑native applications and solutions on Azure

• Leverage Azure services including App Services, Azure Functions, AKS, Storage, Data Factory, Cosmos DB

• Implement scalable, resilient, and cost‑effective cloud architectures

• Optimize cloud resource utilization and performance

• Design for high availability, disaster recovery, and security

• Implement cloud security best practices and governance

• Build and maintain data pipelines for large‑scale data processing

• Implement ETL/ELT processes for diverse data sources

• Optimize data workflows and processing performance

• Design and implement data models and schemas

• Work with structured and unstructured data at scale

• Integrate AI/ML models and APIs into production applications

• Build GenAI applications using LLMs and frameworks like Lang Chain

• Implement RAG (Retrieval Augmented Generation) architectures

• Work with vector databases for semantic search capabilities

• Apply prompt engineering techniques for optimal LLM performance

• Understand and implement basic NLP tasks (text classification, entity extraction, embeddings)

• Collaborate with data scientists to product ionise ML models

• Evaluate and integrate new AI/ML technologies

• Write SQL queries for data analysis and application needs

• Design and optimise database schemas for both relational and No
  
  SQL databases

• Tun…