Senior Stat Programmer

IQVIA

City of Melbourne

On-site

AUD 108,000 - 132,000

Full time

9 days ago
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Job summary

IQVIA is seeking a hands-on Programming Team Lead to plan, coordinate, and oversee programming activities for complex clinical studies. You will own the programming lifecycle from database integration to statistical outputs and design advanced macros and tools to improve efficiency.

The role requires 3–5 years of statistical programming experience in clinical trials, expert SAS (Base, Graph, Macro), and strong CDISC SDTM/ADaM knowledge.

Qualifications

  • A degree in Computer Science or related field; Master’s preferred.
  • 3 to 5 years of experience in statistical programming within clinical trials.
  • Strong knowledge of SAS (Base, Graph, Macro) and CDISC SDTM/ADaM.

Responsibilities

  • Lead programming activities and oversee the programming lifecycle from DB integration to outputs.
  • Design and implement macros, tools, and process improvements to enhance efficiency.
  • Collaborate with statisticians, data managers, and clients to deliver high quality results.
  • Mentor junior programmers and guide the programming team.
  • Ensure deliverables meet regulatory standards and internal quality benchmarks.

Skills

SAS programming
R programming
CDISC SDTM/ADaM
Leadership
Clinical trials
Regulatory knowledge
Base SAS
SAS Graph
SAS Macro
PK analysis (ADNCA)

Education

Master’s degree in Computer Science or related field

Tools

SAS
R

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.

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