Senior Stat Programmer

IQVIA; Sydney; On-site; AUD 110,000 - 170,000; Full time

Job summary

IQVIA in Sydney, Australia seeks an experienced Statistical Programmer to lead complex clinical studies. You will manage the programming lifecycle from database integration to statistical outputs, mentoring junior programmers and delivering high-quality results.

You will design advanced macros and tools to improve efficiency, collaborate with statisticians and data managers, and ensure regulatory compliance across deliverables in line with CDISC SDTM/ADaM standards.

Qualifications

• Degree in CS or related field; Master’s preferred.
• 3–5 years of statistical programming in clinical trials.
• Expert in Base SAS, SAS Graph and SAS Macro.
• Experience with R and PK analyses is a plus.
• Strong knowledge of CDISC SDTM/ADaM and regulatory requirements.

Responsibilities

• Lead Complex Projects: oversee programming for complex studies.
• Innovate with Purpose: develop macros, tools, and process improvements.
• Collaborate Across Teams: work with statisticians, data managers, clients.
• Mentor & Guide: coach junior programmers.
• Drive Quality & Compliance: ensure deliverables meet standards and documentation.

Skills

Advanced SAS programming

R programming

CDISC SDTM/ADaM

Statistical programming in clinical

Leadership & mentoring

Education

Bachelor's degree in Computer Science or related field

Master’s degree (preferred)

Tools

Base SAS

SAS Graph

SAS Macro

R

ADNCA for PK analysis

Job description

The interview process will consist of 3 rounds.

We regret to inform that we are unable to consider candidates requiring sponsorship to work in Australia.

What You’ll Do

• Lead Complex Projects : Plan, coordinate, and oversee programming activities for complex clinical studies, serving as Programming Team Lead for assigned projects. Own the programming lifecycle from database integration to statistical outputs.
• Innovate with Purpose : Design and implement advanced macros, tools, and process improvements that elevate programming efficiency.
• Collaborate Across Teams : Work closely with statisticians, data managers, and clients to deliver seamless, high-quality results. Provide technical expertise and innovative solutions to complex project challenges.
• Mentor & Guide : Share your expertise with junior programmers and help shape the future of our programming team.
• Drive Quality & Compliance : Ensure all deliverables meet regulatory standards and internal quality benchmarks. Develop and maintain programming specifications, documentation, and other study-related deliverables.

What You Bring

• A degree in Computer Science or a related field (Master’s preferred).
• 3 to 5 years of experience in statistical programming within clinical trials.
• Advanced SAS programming skills (Base SAS, SAS Graph, SAS Macro).
• Experience with R programming and ADNCA for PK analysis will be considered an asset.
• Strong understanding of clinical data, statistical principles, and regulatory requirements.
• Advanced knowledge of CDISC standards (SDTM and ADaM).
• Excellent communication, leadership, and multitasking abilities.
• Demonstrated ability to independently solve complex technical challenges, lead technical initiatives, and adapt to evolving tools, technologies, and industry 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.