Data Analysis Programmer

il y a 1 semaine


Région Flamande, Belgique Insight Global Temps plein

*This will be a fixed term contract of 12 months; in which you would be employed full time, receiving benefits, etc.
About the Role
We are seeking a skilled Clinical Programming Specialist to join our client in Diegem, Belgium. In this role, you will develop and maintain analysis datasets, tables, listings, and graphs from clinical sources using SAS and/or R. You will also support programming infrastructure, ensure high-quality deliverables for clinical trials, and collaborate with cross-functional teams to meet critical milestones. This position requires minimal guidance and offers the opportunity to contribute to global harmonized processes and industry standards.

Key Responsibilities
Develop and maintain analysis datasets, tables, listings, and graphs using SAS and/or R
Create and maintain programming infrastructure and global SAS macro library
Support maintenance of SAS platform and custom Data Management reports
Collaborate with Data Management and Clinical Data Science teams to deliver reports and metrics
Ensure timely and high-quality programming deliverables for clinical trials
Participate in process improvement and industry forums (e.g., CDISC, SDTM)
Stay current with programming best practices and emerging tools/packages
Design, implement, and maintain moderately complex programming deliverables across multiple platforms and therapeutic areas

Must-Have Qualifications
Bachelor’s degree in Statistics, Computer Science, or related discipline
Minimum 4 years of system support in clinical research within Medical Device or Pharmaceuticals
Proficiency in Base SAS, SAS/STAT, and SAS Macro language
Ability to conduct independent QC programming and peer review
Strong debugging, problem-solving, and documentation skills
Excellent verbal and written communication skills

Preferred Skills
Advanced SAS certification
Experience with R programming (syntax, functions, packages)
Familiarity with CDISC datasets (ADaM, SDTM), tables, listings, and figures
Exposure to developing and maintaining R scripts for data analysis and visualization
Knowledge of global harmonized processes and industry standards
Experience with medical device therapeutic areas


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