Data Visualization Developer – Spotfire, R, Python

The role is for a Data Visualization Developer within the pharmaceutical industry working 100% remotely on a project until 31.03.2027. The candidate will collaborate closely with scientists and stakeholders to design and implement interactive dashboards and analytical applications using Spotfire, supported by R and Python scripting. The project language is English and the assignment is on a B2B basis.

• Excellent communication and stakeholder-management skills.
• Ability to work collaboratively with scientists, analysts, developers, and IT professionals with different levels of technical expertise.
• Experience gathering and translating user needs into practical, user-friendly analytical solutions.
• Experience designing and developing interactive dashboards in Spotfire or comparable visualization platforms such as Power BI, Tableau, or Qlik.
• Strong understanding of data visualization principles, dashboard usability, and visual communication.
• Experience using code (R and/or Python) for data preparation, analysis, statistical methods, or analytical application development.
• Strong analytical and problem-solving skills, with careful attention to data quality and detail.
• Curiosity and a willingness to understand scientific questions, data, and workflows.
• Relevant degree or equivalent practical experience in data science, computer science, statistics, bioinformatics, natural sciences, engineering, or related areas.

Nice to Have:

• Scientific background or prior experience working directly with scientists and research data.
• Knowledge of SQL, relational databases, APIs, or modern data platforms.
• Experience with statistical analysis or scientific computing.
• Familiarity with development practices such as version control, testing, code review, and technical documentation.
• Understanding of data governance, information security, or regulated research environments.

• Build trusted relationships with scientists, analysts, and other stakeholders to understand their research questions, workflows, and decision-making needs.
• Facilitate requirement discussions and translate complex scientific and business needs into clear technical and visualization requirements.
• Design, develop, and maintain interactive dashboards and analytical applications, primarily in Spotfire.
• Translate complex scientific and analytical data into clear, intuitive, and actionable visualizations.
• Develop and maintain R and Python data functions for data preparation, statistical analysis, modeling, and advanced visualization.
• Apply data visualization and user-experience best practices to create dashboards that are informative, accessible, and easy to use.
• Prepare, transform, validate, and integrate data from multiple sources.
• Optimize dashboard performance, data loading, usability, and maintainability.
• Provide training, guidance, and ongoing support to dashboard users.
• Develop reusable visualization components and contribute to shared development standards.
• Collaborate with data engineering and IT teams on integration, security, access, and deployment.
• Stay informed about developments in data visualization, Spotfire, analytical programming, and scientific data analysis.