Senior Statistical Programmer — Remote Lead in SAS

WCG Clinical, Inc.; Montpelier (VT); Remote; USD 105,000 - 128,000; Full time

Job summary

WCG Clinical, Inc. in the United States (Remote) is seeking a Senior Statistical Programmer to develop, validate, and document SAS programs for clinical trial data analysis and regulatory submissions.

This role leads programming activities, ensures deliverables meet industry standards, and mentors junior programmers. You will collaborate with cross-functional teams, troubleshoot data issues, and drive process improvements.

Qualifications

• At least 5 years of SAS programming experience.
• R programming experience highly preferred.
• 2 years of macro programming experience required.
• At least 3 years of experience in the pharmaceutical, vaccines, biotech, or medical device industry required.
• Phase 1- 4 clinical trials experience.
• In depth knowledge of CDISC requirements required.

Responsibilities

• Develop, validate, and document SAS programs for clinical trial datasets (SDTM, ADaM) and outputs (tables, listings, figures).
• Lead programming activities and manage resources, timelines, and priorities for studies and projects.
• Conduct quality control checks and peer code reviews on programming deliverables.
• Collaborate with statisticians, data managers, and clinical teams to ensure requirements are met.
• Oversee programming activities for studies or projects, including budgeting and resource allocation.
• Mentor junior programmers on industry standards and best practices.

Skills

SAS programming

R programming

Macro programming

CDISC knowledge

Project leadership

Education

Master’s degree

Job description

WCG Clinical, Inc. in the United States (Remote) is seeking a Senior Statistical Programmer to develop, validate, and document SAS programs for clinical trial data analysis and regulatory submissions.

This role leads programming activities, ensures deliverables meet industry standards, and mentors junior programmers. You will collaborate with cross-functional teams, troubleshoot data issues, and drive process improvements.