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Client: IQVIA

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 11

Posted: 28.04.2025

Expiry Date: 12.06.2025

IQVIA is seeking statistical programmers skilled in SAS to develop clinical study report materials for regulatory submissions. The role involves full-spectrum statistical programming in our DS3 environment, primarily home-based.

1. Import data from various sources
2. Perform quality control checks on source and reporting data
3. Interpret project requirements and develop programming specifications
4. Write programming code adhering to Good Programming Practices
5. Program ADaM datasets
6. Create statistical analysis tables, listings, and figures
7. Validate datasets and statistical outputs against gate checks
8. Communicate with statisticians and clinical team members to ensure clarity of requirements and timelines
9. Use and promote established standards, SOPs, and methodologies
10. Export data and report materials
11. Provide training and mentorship to team members

Join us to advance clinical trial statistical analysis with cutting-edge technology across global projects. Thrive in a collaborative, fast-paced environment that fosters professional growth and mentorship.

Candidates should have a Master’s or Bachelor’s degree in Biostatistics, Statistics, Mathematics, or Computer Science, with proven programming experience.

• Remote work capability
• 5+ years in statistical programming within CRO/Pharma, with ADaM and TFL experience

Additional competencies:

• Attention to detail, problem-solving, organizational and communication skills
• Experience with SAS programming in healthcare industries
• Knowledge of statistics and analytical skills
• Understanding of Good Clinical Practice and ICH guidelines
• Ability to lead or develop leadership potential in programming tasks
• Initiative, integrity, and effective relationship-building skills

Embrace growth, innovation, and purpose in your career with IQVIA. We are committed to making a meaningful impact on global health through data science and analytics.