Principal Statistical Programmer: Global Impact

IQVIA; Zaventem; Sur place; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Global exposure

Collaborative environment

Career development

Work-life balance

In-house technology access

Résumé du poste

IQVIA in Belgium is seeking a Principal Statistical Programmer to provide advanced technical expertise across complex studies, developing programming solutions and consulting on client requirements.

You will lead programming activities, interpret project requirements, coordinate resources, and ensure timely delivery while promoting data standards and best practices. Strong SAS/R skills and CDISC knowledge are required.

Qualifications

• Bachelor's degree in Maths, Computer science, Statistics, or related field.
• 7+ years’ Statistical Programming experience within the Life Science Industry.
• Advanced knowledge of statistics, programming and/ or clinical drug development process.
• Advanced knowledge of data standards such as CDISC/ADaM/SDTM.

Responsabilités

• Perform, plan co-ordinate, and implement for complex studies: programming, testing, documentation of statistical programs.
• Program analysis datasets and transfer files for clients; conduct programming QC checks.
• Interpret project requirements and develop programming specs for complex studies.
• Provide advanced technical expertise and lead programming teams; mentor SP staff.
• Communicate with statisticians and clinical team members to ensure timelines and requirements.
• Estimate scope, manage resources, and negotiate timelines; promote standards and best practices.

Connaissances

Statistical programming

Project leadership

Formation

Bachelor's degree in maths

Outils

R

SAS

SAS Graph

SAS Macro Language

Description du poste

IQVIA in Belgium is seeking a Principal Statistical Programmer to provide advanced technical expertise across complex studies, developing programming solutions and consulting on client requirements.

You will lead programming activities, interpret project requirements, coordinate resources, and ensure timely delivery while promoting data standards and best practices. Strong SAS/R skills and CDISC knowledge are required.