Statistical Programmer II: Sponsorship Available

Overview:

The Statistical Programmer II is responsible for supporting clinical data analysis through the development, validation, and documentation of SAS programs. This role focuses on preparing high-quality datasets, tables, listings, and figures (TLFs) to support clinical study reports, regulatory submissions, and publications, in compliance with industry standards and regulatory requirements.

Key Responsibilities:

• Develop and validate SAS programs to generate CDISC-compliant datasets (SDTM, ADaM), tables, listings, and figures for clinical trials.
•  Review and contribute to dataset specifications and programming documentation.
• Ensure accuracy, consistency, and integrity of clinical data outputs across deliverables.
• Collaborate closely with biostatisticians, data managers, and other team members to support project timelines and deliverables.
• Adhere to company and client standard operating procedures (SOPs), regulatory guidelines (e.g., FDA, ICH), and industry best practices.
• Contribute to the development and maintenance of programming tools, macros, and process improvements to enhance efficiency and quality.
• Provide guidance and training to new team members and support knowledge sharing within the programming team.

Qualifications:

• Education: Bachelor’s or Master’s degree in Statistics, Computer Science, Life Sciences, Mathematics, or a related field.

Experience:

• At least 2 years of experience in statistical programming for clinical trials.
• Solid practical knowledge of SAS software, including dataset creation, manipulation, and validation.

Skills:

• Proficiency in SAS programming and understanding of SDTM and ADaM standards.
• Strong knowledge of clinical research, medical terminology, and regulatory requirements.
• Excellent analytical, problem-solving, and documentation skills.
• Effective communication and teamwork abilities.
• Fluent in English, both written and verbal.
• Demonstrated integrity, professionalism, and accountability.

Additional Information:

• No supervisory responsibilities.• Must be comfortable working independently and collaboratively in a cross-functional environment.

Benefits:

• Casual dress
• Company events
• Enhanced maternity leave
• Enhanced paternity leave
• Free parking
• On-site parking
• Relocation assistance
• Sick pay
• UK visa sponsorship
• Work from home

Education:

• Master’s (preferred)

Reference ID: #Rainbow20251

Closing Date: 06 July 2025