Statistical Programmer

Job summary

This role involves becoming the first dedicated statistical programmer within a team focused on clinical evidence activities. The position requires strong programming skills in clinical research and aims to support various clinical evidence initiatives.

Qualifications

• Bachelor’s or master’s degree in life sciences, natural sciences, engineering, or equivalent.
• 2-3 years of programming experience, preferably with SAS, and familiarity with biological data.
• Experience with Python/PySpark is a plus.
• Understanding of clinical investigation data structures and CDISC standards is advantageous.

Responsibilities

• Assist biostatisticians and real-world evidence managers with data preparation and SAS program development.
• Create analysis datasets, tables, listings, and figures.
• Develop reusable programming solutions, macros, and standards.
• Conduct quality control and validation of programming outputs.
• Contribute to Statistical Analysis Plans and data presentation efforts.
• Support data managers with database quality and user acceptance testing.
• Ensure compliance with regulatory expectations and internal quality standards.
• Drive continuous improvement in programming processes and standards.

Skills

• Strong analytical skills, independence, and accountability in managing workloads.
• Effective collaboration across different professional areas.
• Good communication skills in English, both written and spoken, with the ability to explain technical concepts.

Education

• Bachelor’s or master’s degree in relevant fields.

Tools

• SAS for clinical investigations.
• Python/PySpark for real-world evidence projects.