Principal Statistical Programmer

Jobgether·Lever
United StatesFull-timePosted Jul 1, 2026
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Statistical Programmer based in United States.

This is a senior-level scientific programming role focused on leading statistical programming efforts across clinical research projects within the pharmaceutical and life sciences space. You will play a key role in delivering high-quality analysis datasets, tables, figures, and listings that support clinical trial reporting and regulatory submissions.
The position combines technical SAS expertise with leadership responsibilities, including guiding project teams, ensuring timely delivery, and maintaining data quality and compliance with industry standards.
You will collaborate closely with statisticians, study teams, and external clients to translate statistical analysis plans into reliable programming outputs.
A strong emphasis is placed on CDISC standards, process improvement, and the development of reusable programming tools and macros.
The environment is highly collaborative, fast-paced, and research-driven, with a strong focus on precision and regulatory rigor.
This role is well suited for an experienced statistical programmer who enjoys both hands-on coding and mentoring others in a clinical research setting.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Statistical Programmer based in United States.

This is a senior-level scientific programming role focused on leading statistical programming efforts across clinical research projects within the pharmaceutical and life sciences space. You will play a key role in delivering high-quality analysis datasets, tables, figures, and listings that support clinical trial reporting and regulatory submissions.
The position combines technical SAS expertise with leadership responsibilities, including guiding project teams, ensuring timely delivery, and maintaining data quality and compliance with industry standards.
You will collaborate closely with statisticians, study teams, and external clients to translate statistical analysis plans into reliable programming outputs.
A strong emphasis is placed on CDISC standards, process improvement, and the development of reusable programming tools and macros.
The environment is highly collaborative, fast-paced, and research-driven, with a strong focus on precision and regulatory rigor.
This role is well suited for an experienced statistical programmer who enjoys both hands-on coding and mentoring others in a clinical research setting.

Accountabilities

    In this role, you will lead statistical programming activities across clinical research projects, ensuring high-quality and timely delivery of analysis outputs:

    • Lead one or more statistical programming project teams to ensure timely delivery of analysis datasets, tables, listings, and figures.
    • Oversee project planning, including resource allocation, timelines, budget tracking, and quality control.
    • Develop, review, and maintain SAS programs, macros, and datasets used in clinical trial analysis.
    • Implement and review analysis dataset specifications based on statistical analysis plans.
    • Collaborate with statisticians and clients to align on analysis requirements and programming approaches.
    • Produce and validate clinical trial deliverables, including DEFINE.xml files and reviewer guides.
    • Set up programming templates and standards for new studies and projects.
    • Provide technical consultation to internal teams and support cross-functional collaboration.
    • Mentor junior statistical programmers and contribute to their technical and professional development.
    • Support process improvement initiatives, including macro library development and SOP enhancements.
    • Provide effort estimates for out-of-scope work and support project planning activities.
    • Participate in client meetings and contribute to stakeholder communications.
    • Requirements

      The ideal candidate brings deep SAS programming expertise combined with strong leadership and clinical research experience:

      • Bachelor’s degree in a relevant scientific or technical field.
      • 10+ years of SAS programming experience, with at least 7 years in the pharmaceutical or clinical research industry.
      • Strong expertise in SAS/Base, SAS Macro Facility, and advanced macro development.
      • Solid understanding of clinical trial data structures, statistical concepts, and analysis methodologies.
      • Experience working with CDISC standards and regulatory submission requirements.
      • Proficiency in generating outputs using SAS ODS (Word, Excel, XML, etc.).
      • Experience developing technical programming specifications and complex analysis datasets.
      • Strong knowledge of Microsoft Word and Excel for documentation and reporting.
      • Proven experience leading programming teams and managing multiple concurrent projects.
      • Strong organizational, analytical, and communication skills with attention to detail.
      • Ability to work independently while coordinating across cross-functional teams.
      • Experience in process improvement, standardization, and reusable macro development is highly valued.
      • Benefits

        • Competitive compensation aligned with senior-level clinical programming expertise.
        • Fully remote work flexibility within the United States.
        • Comprehensive medical, dental, and vision insurance coverage.
        • 401(k) retirement plan with company match.
        • Generous paid time off and paid holidays.
        • Tuition reimbursement and professional development support.
        • Employee assistance and wellness programs.
        • Short-term and long-term disability coverage.
        • Life insurance and additional voluntary benefit options.
        • Telemedicine access and health savings/flexible spending accounts.
        • Inclusive and collaborative work environment focused on innovation in clinical research.
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

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