Data Information Model Developer

Join GSK as a Data Information Model Developer to turn complex biomedical data into usable models for scientists and AI agents. You will design disease data information models for priority discovery areas, define mapping rules, and implement quality checks to ensure trust. This hands-on role involves coding, modelling tools, and collaboration with research, ontology, and data platform teams. You will contribute to data quality, integration, and adoption across multidisciplinary projects. This role offers growth opportunities aligned with GSK’s mission to unite science, technology, and talent to get ahead of disease.

• annual bonus
• share-based long-term incentive program
• hybrid working model
• opportunities for growth
• competitive salary range
• career development opportunities

• Design, develop, and maintain data information models and frameworks to support research and innovation
• Collaborate with cross-functional teams to translate data needs into reusable structures
• Document data definitions, relationships, and lineage for clarity and AI interpretability
• Implement processes for data quality, consistency, and compliance
• Work with engineering teams to integrate models into data platforms and pipelines
• Support continuous improvement of data modelling practices
• Engage with researchers, data stewards, and data platform teams to adopt models

• Degree in Computer Science, Data Science, Information Management, or a related field
• Proven experience in data modelling, information architectures, or similar roles in pharma
• Experience curating, harmonizing, or integrating biomedical/healthcare data
• Experience using AI assistants or generative AI tools with critical evaluation
• Strong data analysis skills and ability to translate requirements into models
• Familiarity with database technologies and data integration concepts
• Ability to write clear documentation and communicate with both technical and non-technical colleagues
• Working knowledge of biomedical ontologies and standards such as NCIt, MONDO, EFO, GO, ChEBI, CDISC

• Curiosity
• Attention to detail
• Positive mindset
• Data modelling
• Ontology and standard knowledge (NCIt, MONDO, EFO, GO, ChEBI, CDISC)
• AI-assisted data workflows