Senior Scientist, Data Visualization Full-time

Senior Scientist, R&D Data Science Digital Health, Data Visualization – Operations

Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Senior Scientist, R&D Data Science Digital Health, Data Visualization – Operations.

This position has a primary location of Madrid, Spain This position requires up to 10% travel.

Data Visualization & Dashboarding

• Design, develop, and maintain interactive dashboards and reports for R&D operational metrics (e.g., study timelines, resource allocation, portfolio tracking, experiment throughput).
• Create visual narratives that simplify complex datasets for diverse audiences including scientists, clinicians, and leadership teams.
• Implement visualization best practices focusing on clarity, usability, and storytelling.

Operational Data Analytics

• Work closely with R&D, Clinical Operations, and Program Management to identify key performance indicators.
• Analyze experimental workflows, preclinical and clinical study data, and project pipeline metrics to identify trends and bottlenecks.
• Collaborate with data engineers and analysts to ensure data pipelines are reliable, automated, and scalable.

Stakeholder Engagement

• Partner with cross-functional teams (Research, Clinical, Regulatory, and Finance) to understand data needs and deliver tailored visual insights.
• Present analytical findings and visualization outputs to senior leadership for strategic planning.

Tools & Technologies

• Build and deploy dashboards using tools such as Tableau, Power BI, or Spotfire (preferred in pharma R&D environments).
• Use Python, R or SQL for data manipulation and integration.
• Work with data from LIMS, EDC systems, ELNs, and project management tools.

Education

• Bachelor's or Master's degree in Data Science, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Background in life sciences or pharmaceutical R&D is strongly preferred.

Experience

• 6 – 8+ years of experience in pharma/biotech R&D or commercial functions, with significant exposure to data management or 4+ years of experience in pharma/biotech R&D or commercial functions with advanced degree.
• Proficiency in visualization tools (e.g., Tableau, Power BI, Spotfire, Looker).
• Strong SQL and data wrangling skills; experience with Python or R a plus.
• Familiarity with data models and systems used in R&D (e.g., LIMS, ELN, CTMS, ERP).
• Understanding of statistical methods, experimental design, and clinical development processes.
• Strong communication and storytelling abilities, particularly for non-technical audiences.
• Excellent problem-solving and critical-thinking skills.
• Detail-oriented with a focus on data accuracy, integrity, and compliance (GxP awareness a plus).
• Collaborative team player with the ability to manage multiple projects simultaneously.