Senior Principal Statistical Programmer – Remote SAS/CDISC Expert

WCG Clinical, Inc.; Richmond (VA); Remote; USD 131,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Tuition reimbursement

Paid holidays

Job summary

The Senior Principal Statistical Programmer at WCG Clinical, Inc. is a senior technical leader in statistical programming for clinical trials and DMC deliverables. You design, develop, and standardize outputs and mentor staff while aligning with regulatory expectations and CDISC standards.

This remote US-based role collaborates with biostatistics, data management, and study teams to ensure compliant, high-quality programming across multiple studies. Strong SAS and R expertise is required.

Qualifications

• Master’s degree required; equivalent may be considered.
• 8–10 years of statistical programming in a clinical trial environment.
• Proficiency in SAS and R; CDISC experience.
• Ability to lead complex programming across studies independently.
• Experience mentoring staff and driving technical standards or best practices.

Responsibilities

• Serve as a senior technical expert in statistical programming across multiple studies.
• Design, develop, validate, and oversee complex programming deliverables (tables, listings, figures).
• Lead the development and validation of DMC macros and programming standards.
• Provide technical oversight to ensure quality, compliance, and consistency.
• Drive programming standards and process improvements across projects.
• Collaborate with biostatistics and study teams on complex trial designs and analyses.

Skills

Technical leadership

Mentoring

Statistical programming

Education

Master’s degree in a relevant field

Tools

SAS

R

CDISC standards

Job description

The Senior Principal Statistical Programmer at WCG Clinical, Inc. is a senior technical leader in statistical programming for clinical trials and DMC deliverables. You design, develop, and standardize outputs and mentor staff while aligning with regulatory expectations and CDISC standards.

This remote US-based role collaborates with biostatistics, data management, and study teams to ensure compliant, high-quality programming across multiple studies. Strong SAS and R expertise is required.