R&D Data Visualization Engineer
Pubblicato il 01-10-2026 - Chiesi in Parma
OverviewIn this role you will transform complex data into clear visuals that guide R&D; decisions.
You will work closely with data scientists and stakeholders to design dashboards and tools that communicate insights effectively.
You'll build and maintain visualization solutions, ensure usability and reproducibility, and stay current with new techniques in pharma visualization.
This position sits at the heart of Chiesi's R&D; data-driven culture, offering impact across projects and collaborations with universities and partners.
Join a mission-driven environment that values reliability, transparency and continuous learning.
Retribuzione / Benefitscomprehensive healthcare programs
work-life balance initiatives
relocation support
competitive salary with performance bonuses
flexible working arrangements
remote work options
ResponsabilitàAnalyze large datasets to identify trends and insights for decision making
Design and implement visual representations (charts, dashboards) to communicate findings
Develop and maintain data visualization tools and software using Python, R, JS or platforms like Tableau/Power BI
Collaborate with data scientists,
analysts and stakeholders to tailor visuals to needs
Ensure visualizations are user-friendly, accessible and reproducible
Document development work for quality and knowledge sharing
Engage with external partners and academics to apply modern visualization models
Present findings to the R&D; team and stay updated on new visualization methods
Requisiti fondamentaliBachelor's in Data Science or Computer Science (or related field) with master's as a plus
Proficiency in data visualization tools (Tableau, Power BI)
Programming skills in Python and/or R; knowledge of JavaScript
Strong SQL for data manipulation
Ability to translate stakeholder needs into theoretical models and code
Effective communication across technical and non-technical audiences
Team-oriented and capable of cross-functional collaboration
Attention to detail and emphasis on scientific rigor and reproducibility
Adaptability and willingness to learn new technologies
strong communication
collaboration
problem-solving
Tableau
Power BI
Python