Senior Statistical Programmer at IQVIA

The Senior Statistical Programmer will be responsible for the review of datasets in submission ready standard format (ADaM), tables, figures, listings and submission packages. The Senior Statistical Programmer will provide expertise in the design, development and quality control process for SAS programs used to access, extract, transform, review, analyze and submit clinical data for all requested analyses.

Why Join IQVIA?


Collaborate with industry leaders on projects at the forefront of clinical innovation
Gain exposure to a variety of therapeutic areas, indications, and phases
Career development opportunities to grow as we grow, AI‑powered career advancement through our internal talent marketplace, Career Connections
Mentorship opportunities across the organisation via Employee Resource Groups
Flexible working to assist work - life balance and professional success
Join a 2026 Fortune® World's Most Admired Companies™ - nominated for the FIFTH consecutive year


Responsibilities


Collaborates with the study teams to design data structure and specifications for ad hoc and study deliverables including, but not limited to ADaM datasets, Tables, Figures, Listings and Analysis Submission content
Collaborates with study teams to ensure the quality and accuracy - thus submission readiness - of clinical data as required by authorities (i.e. SDTM, ADaM, tables, figures, listings, define.xml)
Leads and oversees requested efforts for pooled and exploratory analyses working closely with Statistics TA lead and/or study statisticians as well as with clinical programming team and their collection of legacy data
Leads and oversees the in-house specification and delivery of ISS and ISE datasets and associated output (tables, figures and listings) when not provided by CRO
Leads and oversees the design and implementation of complex SAS programs for applications designed to analyze and report complex clinical trial data in CDISC ADaM format
Leads and oversees the development of global tools that will increase the efficiency and capacity of the Statistical Programming group
Works closely with clinical study teams to plans and executes activities to ensure project timelines are met with high quality deliverables
Collaborates with CR&D staff regarding data analysis requests
Performs additional statistical analyses including but not limited to:
Support responses to regulatory agencies
Generate integrated summary of safety and efficacy
Support publications and presentations
Support planning and reporting of clinical trials via exploratory analyses of available data


Requirements


BSc in Computer Science, Mathematics, Statistics or related area with relevant experience
At least 5+ years of experience in either clinical programming and/or statistical programming, within the CRO/pharmaceutical environment using SAS Software
In depth understanding of clinical programming and/or statistical programming processes and standards
Extensive experience with statistical programming using the SAS software including development and use of SAS Macros. Strong programming and problem-solving skills
Trained / hands on experience of R Programming
Advanced knowledge in CDISC standards (CDASH, SDTM, ADaM)
Proven experience in leading programming activities for pooled and exploratory analyses across multiple clinical studies and submission activities (or equivalent)
Proven ability to work effectively both independently or in a team setting, and to meet set goals by managing own timelines
Experience working in cross-functional, multicultural and international clinical trial teams