Principal Statistical Programmer

Role overview

The Principal Statistical Programmer I leads advanced statistical programming work for demanding clinical research programs. The position focuses on producing accurate, regulation-ready outputs, applying solid programming practices, and acting as a technical authority within the organization.

Key responsibilities

• Direct statistical programming activities for complex clinical research studies.
• Build efficient, high-quality code using advanced SAS techniques.
• Act as an internal consultant for statistical programming questions and solutions.
• Produce outputs that meet regulatory expectations and maintain accuracy and reliability.
• Create and keep detailed, well-structured programming documentation.
• Coach junior statistical programmers and help strengthen technical capability and best practices.
• Share periodic project progress updates with management.
• Carry out assigned programming work within agreed timelines and quality standards.
• Present statistical programming topics and best practices in internal knowledge-sharing forums.

Required expertise

• Deep statistical programming experience, especially in SAS.
• Strong knowledge of regulatory expectations and industry standards in clinical research.
• Ability to design and deliver efficient, robust programming solutions.
• Strong documentation habits and organized working style.
• Leadership, mentoring, and cross-functional collaboration skills.
• Clear written and spoken communication.

Preferred profile

Candidates should have a background in statistical programming within a pharmaceutical company or CRO, along with experience supporting CDISC/TLF work. A scientific educational background is preferred.

Technical and domain requirements

• Advanced SAS skills, including Base SAS, Macros, and SQL; knowledge of R or Python is an added advantage.
• Hands-on experience with CDISC standards, including SDTM and ADaM, plus TLF generation.
• Working understanding of GCP, FDA, EMA, and ICH guidelines.
• Strong analytical thinking, problem-solving ability, and organizational discipline.
• Capability to manage several priorities independently while working well with others.

Core competencies

• Teamwork and collaboration
• Ownership and accountability
• Results orientation
• Customer focus
• Continuous improvement mindset

Work environment

This is a standard office-based role with low physical risk. Occasional travel between corporate locations may be needed.

Additional information

The scope of responsibilities may change based on business requirements. Reasonable accommodations will be provided where applicable.

Eligibility

Any graduate may apply. The ideal candidate has 6+ years of statistical programming experience with a bachelor’s degree, or 4+ years with a master’s degree or PhD.