Data Information Model Developer

Join us as a Data Information Model Developer and help turn complex biomedical data into models that scientists and AI agents can use with confidence. You will design disease data information models for priority discovery areas, write the mapping rules that bring harmonized data them, and build the quality checks that keep them trustworthy. This is a hands-on role: you will work in code and modelling tools every day, use AI assistants to work faster, and partner with research, ontology and data platform teams as well as external partners.

We value curiosity, attention to detail, and a positive mindset. This role offers you the chance to grow your skills while making a meaningful impact aligned with GSK's mission to unite science, technology, and talent to get ahead of disease together., This role will provide YOU the opportunity to lead key activities to progress YOUR career.

• Design, develop, and maintain data information models and frameworks that support research and innovation.
• Work closely with cross-functional teams to understand their data needs and translate them into clear, reusable data structures.
• Document data definitions, relationships, and lineage to ensure clarity and usability for people as well as enabling context for AI agents to interpret the data correctly.
• Implement processes to ensure data quality, consistency, and compliance.
• Collaborate with engineering teams to integrate models into data platforms and pipelines.
• Support continuous improvement by reviewing and refining data modelling practices.
• Work with research scientists, data stewards and data platform teams to agree models and get them adopted.

• Degree in Computer Science, Data Science, Information Management, or a related field.
• Proven experience in data modelling, designing information architectures, or similar roles in pharma setting.
• Proven experience curating, harmonizing or integrating biomedical, pharmaceutical or healthcare data.
• Proven experience using AI assistants or generative AI tools in daily work, with a critical eye on their output.
• Strong skills in data analysis and the ability to translate complex requirements into clear models.
• Familiarity with database technologies and data integration concepts.
• Ability to write clear documentation and communicate with technical and non-technical colleagues.
• Working knowledge of biomedical ontologies and standards such as NClt, MONDO, EFO, GO, ChEBI, CDISC

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

• Understanding of data governance, privacy, and security best practices.
• Familiarity with programming or scripting languages like SQL, Python, or others used in data workflows.
• Experience preparing data for AI agents.
• Contributions to standards or ontology communities (e.g. CDISC, FHIR, OBO Foundry, Pistoia Alliance).

This role is based in the United Kingdom and offers a hybrid working model, combining remote and on-site work at one of our offices.

Artificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling, Statistical Models

At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success.

We're uniting science, technology, and talent to get ahead of disease together.

Our approach to R&D, in the job posting for a specific location or country, the relevant compensation will be discussed during the recruitment process. Please note salaries vary by country based on the candidate's skills, experience, education level and the market rate for the role. Offers are typically made within the advertised range based on the candidate's skills, experience and qualifications, with the upper end generally reserved for highly experienced candidates or other exceptional circumstances aligned with these…