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. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph More ❯
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. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph More ❯
modern software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment). Preferred Requirements Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and More ❯
modern software development tools/ways of working (e.g. git/GitHub, DevOps tools for deployment). Preferred Requirements Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and More ❯
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 More ❯
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 More ❯
Stevenage, Hertfordshire, United Kingdom Hybrid / WFH Options
GlaxoSmithKline
Key Placement Learnings: Perform analyses and build predictive models using R and Python, following coding best practices and using cloud platforms. Process, analyze and integrate scientific data (e.g., transcriptomics, proteomics, assays). Benchmark approaches to compare different algorithms. Interact with laboratory and computational scientists to understand scientific context. Role 2 - Scientific Data Engineering Degree requirements: Physical Science (Chemistry, Engineering, Mathematics More ❯
