Principal Stat Programmer

We are seeking highly experienced Statistical Programmers with a minimum of 10+ years of hands-on experience in ADaM and TFL programming, with strong exposure to R programming.

Key Responsibilities & Experience Requirements

• Extensive experience in Efficacy ADaMs and TFL development, particularly within Oncology and Immunology studies
• Strong expertise in Oncology efficacy endpoints, including:
• ADTTE-based analyses such as PFS, OS, DOR, BOR, and ORR (mandatory)
• Proven experience supporting Phase II and Phase III clinical studies (preferred)
• In-depth knowledge of Oncology efficacy ADaM datasets, including:
• ADTR, ADRS, ADQS, ADTTE
• Experience with Non-Oncology efficacy datasets, including:
• ADEFF, ADQS
• Working knowledge of PK/PD datasets used for pharmacokinetic and pharmacodynamic analyses, including:
• ADPD, ADPC, ADPK, ADPP
• Strong experience creating Oncology statistical outputs and visualizations, including:
• Kaplan–Meier (KM) plots
• Forest plots
  

Statistical & Programming Expertise

• Hands-on experience with key SAS statistical procedures, including:
• PROC LIFETEST
• PROC PHREG
• PROC MIXED
• Ability to work independently on complex programming deliverables while adhering to regulatory and quality standards
  

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.