Job description
Do you share a desire to advance scientific knowledge and capitalize on the revolution in data, automation and predictive sciences to deliver measurable impacts on the success and progression of GSK's medicine discovery portfolio?
We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.
In this role you will
* Design and deliver scientific visualizations and underlying data structures to multi‑modal scientific data generated across biopharma discovery activities in an integrated and actionable manner based on a causal mechanistic representation of disease.
* Build, test and optimise robust and performant scientific visualizations and applications that enable real time exploration of large‑scale interconnected data packages managed on GSK's Onyx Research Data Platform and the capture of human insight.
* Collaborate across departments, with scientists evaluating integrated data packages to progress the portfolio, and with data, knowledge and software engineers, to enable robust knowledge foundations and maturation of best‑in‑class visualizations into production applications.
* Contribute to a culture of innovation, quality, and continuous learning and improvement within the team, including mentoring or upskilling other team members and continuously evaluating bioinformatics science and technology developments for potential application at GSK.
* Understand the internal and external landscape of data integration, visualization and access principles to build identify and create high‑value scientific visualizations.
Basic Qualifications & Skills
* Bachelor's degree (or equivalent) in Computer Science, Data Science, Software Engineering, Life Sciences or related field.
* Extensive experience in scientific data analysis and visualization, with a strong preference for experience in pharma/biotech.
* Extensive experience in front end technologies: JavaScript, Typescript, ReactJS, AngularJS or similar.
* Extensive experience with at least one common web backend language: e.g. Python, Scala, Java, Javascript (Node.js) including toolchains for documentation testing and operations/observability.
* Extensive experience with modern software development tools and ways of working (e.g. git/GitHub, DevOps tools, metrics/monitoring, …).
* Extensive experience building complex scientific data visualizations using visualization frameworks like D3.js, Plotly, Matplotlib, or similar.
* Extensive experience building and visualizing complex scientific data assets with semantically designed schemas leveraging relational and graph technologies.
Preferred Qualifications & Skills
* Specific experience with Knowledge Graph efforts.
* Experience with open‑source ontology tools, data formats and languages (e.g. protégé, SPARQL, OWL, SKOS, SHACL, RML).
* Demonstrated experience establishing and managing external partnerships in an industrial setting.
* Track record of change leadership driving lasting adoption of scientific analysis and visualization tool within an organization.
Closing Date for Applications 12th December 2025 (EOD)
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
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