Clinical SAS Programmer #3483831

Be Part of a High-Performing Team

This role supports a leading organization within the pharmaceutical and biotech sector known for its commitment to advancing clinical development and applying rigorous data standards across global studies. The team operates in a technically sophisticated environment and collaborates closely with biostatistics, clinical operations, and data management. Their work is driven by scientific excellence, efficient processes, and a strong focus on producing reliable, submission-ready outputs. This position is ideal for someone who thrives in an analytical, quality-focused, and fast-paced setting.

What's In Store For You

• An opportunity to play a key role in supporting complex clinical programs.
• A collaborative on-site environment that values knowledge sharing and technical mastery.
• Exposure to impactful project work tied directly to ongoing research and regulatory activities.
• A setting that encourages innovation in programming and process improvement.

How You Will Make an Impact

• Deliver programming support for clinical studies and related regulatory outputs.
• Develop, validate, and maintain SDTM and ADaM datasets following CDISC guidelines.
• Generate high-quality analysis outputs, including tables, figures, and listings.
• Write dataset specifications based on study protocols and statistical analysis plans.
• Build, refine, and support SAS macros and utility programs to streamline workflows.
• Solve complex technical issues and propose efficient programming solutions.
• Manage multiple project assignments while ensuring consistent quality and timely delivery.
• Collaborate effectively with statisticians, data managers, and other cross-functional partners.

Do you bring proven success in advanced statistical programming?

Required Skills & Experience

• 5-10 years of clinical or statistical programming experience.
• Advanced SAS programming skills with hands-on experience developing clinical datasets.
• Strong working knowledge of CDISC SDTM and ADaM standards.
• Experience in the pharmaceutical, biotech, or relevant industry.
• Ability to work independently and balance multiple concurrent assignments.
• Strong verbal and written communication abilities.
• Bachelor's degree in Statistics, Mathematics, Computer Science, Life Sciences, or related field.

Preferred Qualifications

• Experience supporting regulatory submissions.
• Familiarity with additional programming tools (R, S-Plus, WinBUGS, Python, VBA, C , etc.)
• Experience contributing to exploratory analyses or publications.
• Comfort working in a fast-paced, highly technical environment.

#dice

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