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R&D Data Visualization Engineer

Pubblicato il 08-09-2026 - Biopharma Careers in Parma

About usChiesi is an international research-focused biopharmaceutical group with 90 years’ experience, operating in more than 30 countries, with its Headquarter in Parma, Italy. More than 8,000 employees across the group are united by a singular purpose: promoting a healthier world for our people, patients, and the planet. This is what drives us as we research, develop, and market innovative drugs across our main therapeutic areas. Discover more here.
Chiesi Research & DevelopmentOur R&D; team represents a fundamental asset for the business. It is divided into integrated functional areas focusing on pipeline projects including discovery and preclinical research, global technical development, drug delivery technology, clinical development, regulatory affairs, pharmacovigilance, intellectual property, quality assurance, R&D; project and portfolio management. Headquartered in the new purpose-built and fully integrated Research and Development Centre in Parma (Italy), the team also has important operations in Paris (France), Chippenham (UK), Cary (US), Stockholm (Sweden), Toronto (Canada)



and Shanghai (China).
Who we are looking forThis is what you will doThe aim of this role is to develop data visualization according to stakeholders need. A Data Visualization Engineer plays a crucial role in transforming complex data into visually appealing and easily understandable formats. This role involves a combination of skills in data analysis, graphic design, and programming.
- Data Analysis: Collecting, processing, and analysing large datasets to identify trends, patterns, and insights.
- Visualization Design: Creating visual representations of data, such as charts, graphs, and dashboards, that effectively communicate insights to stakeholders.
- Tool Development: Developing and maintaining data visualization tools and software, often using programming languages like Python, R, or through visualization platforms (e.g. Spotfire, power BI).
- Collaboration: Working closely with dat

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