• Process, manage, and analyze registry study and large claims databases.
• Master's degree in health economics and outcomes research, statistics, mathematics, psychology, epidemiology, computer science, or related fields.
• Provide input into the development of programming environments.
• Design and implement macro/library codes (e.g., SAS macros).
• Learn subject matters and new statistical methods.
• Manage multiple projects to meet timelines.
• Assist in developing statistical analysis plans and outputs to support internal strategy development and external communications.
• Demonstrate knowledge of real-world evidence (RWE) databases and clinical trial data.
• Apply various statistical methods to real-world research and clinical trial studies.

Requirements:

• Strong and advanced programming and analytical abilities in SAS/SQL/R/Python.
• Experience in data processing, statistical methods application, and results interpretation.
• Demonstrated experience in observational research and study design.
• Project management skills.
• Good written and oral communication skills in English.
• Minimum years of programming experience in SAS/SQL/R/Python, with at least 3-5 years in the pharmaceutical industry.