Senior PowerBI Clinical Visualization Engineer

Cytel; Des Moines (IA); On-site; USD 90,000 - 140,000; Full time

Job summary

Cytel is seeking an experienced Data Visualization Specialist to design, develop, and maintain clinical, safety, and operational dashboards. You will help enforce visualization standards, build reusable components, and ensure data quality across trials, safety reviews, and operational decision-making.

You will collaborate with Statistics, Data Management, Clinical Operations, Safety, and external partners to align on data visualization standards and to promote efficient, scalable visualization

Qualifications

• Degree in Computer Science, Mathematics/Statistics, or related area.
• At least 5 years of relevant experience in clinical data visualization or related analytics.
• Significant hands-on experience with PowerBI and SAS.
• Experience with end-to-end clinical data lifecycle: acquisition, transformation, visualization datasets, and dashboards.

Responsibilities

• Develops, maintains, and enhances clinical, safety, and operational dashboards.
• Supports visualization standards, reusable components, and data specifications.
• Performs quality control, validation, and acceptance checks for dashboards and datasets.
• Translates business and study needs into dashboard specifications for trial monitoring and data review.
• Collaborates with cross-functional teams to promote standardized visualization practices.
• Supports automation, innovation, and advanced analytics using visualization platforms and tools.

Education

BSc/MSc/Diploma in Computer Science or related field

Tools

PowerBI

SAS

Job description

Cytel is seeking an experienced Data Visualization Specialist to design, develop, and maintain clinical, safety, and operational dashboards. You will help enforce visualization standards, build reusable components, and ensure data quality across trials, safety reviews, and operational decision-making.

You will collaborate with Statistics, Data Management, Clinical Operations, Safety, and external partners to align on data visualization standards and to promote efficient, scalable visualization