Lead Statistical Programmer — Global Phase I–IV Trials

IQVIA Inc; Paris; On-site; EUR 70,000 - 110,000; Full time

Job summary

IQVIA is seeking an experienced Senior Statistical Programmer to support Phase I–IV clinical trials for a global pharmaceutical client. You will lead programming efforts, develop SDTM/ADaM datasets, and deliver TLFs, listings, and figures using SAS and R.

The role requires strong CDISC knowledge and experience driving regulatory deliverables with a Study Lead/Lead Programmer mindset, collaborating across Biostatistics and Data Management teams.

Qualifications

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Life Sciences, or a related field.
• Minimum 5 years of statistical programming experience in pharma/biotech/CRO.
• Strong programming with SAS (Base and Macro) and R.
• Solid knowledge of CDISC standards (SDTM, ADaM, Pinnacle 21).
• Experience supporting efficacy analyses and regulatory deliverables.
• Experience developing and reviewing ADaM specifications and reports.

Responsibilities

• Lead and contribute to programming activities across Phase I–IV trials.
• Develop, validate, and maintain SDTM/ADaM datasets, TLFs, listings, and figures using SAS and R.
• Support efficacy and safety analyses per study requirements and CDISC standards.
• Author and review programming specifications and related documentation.
• Perform QC and validation of outputs for regulatory submissions.
• Collaborate with Biostatistics, Data Management, and cross-functional teams.
• Act as Lead Programmer or Study Lead, providing oversight and technical guidance.

Skills

SAS programming

R programming

CDISC standards

Lead Programmer experience

Clinical trials knowledge

Statistical analysis

Education

Bachelor's or Master's in Statistics/Math/CS/Life Sciences

Tools

SAS

R

Job description

IQVIA is seeking an experienced Senior Statistical Programmer to support Phase I–IV clinical trials for a global pharmaceutical client. You will lead programming efforts, develop SDTM/ADaM datasets, and deliver TLFs, listings, and figures using SAS and R.

The role requires strong CDISC knowledge and experience driving regulatory deliverables with a Study Lead/Lead Programmer mindset, collaborating across Biostatistics and Data Management teams.