Job Description

Overview:

The Statistical Programming Intern provides robust statistical programming support for multiple clinical projects using SAS to deliver key regulatory-compliant outputs. Key responsibilities include developing programming documentation, writing efficient code, and staying updated on statistical programming techniques. This role also provides study updates to study lead while performing assigned duties.


Responsibilities:
Provides statistical programming support for multiple clinical research study projects or study teams under oversight of lead programmer. Supports key deliverables based on regulatory requirements for clinical research e-submissions and/or study requirements for Sponsor, Regulatory, Investigator or Safety review meetings Supports development of programming documentation and annotations including specifications, adhering to relevant Standard Operating Procedures. Provides accurate, effective and timely communication of issues and status to study lead of the team. Executes assigned tasks with high quality and integrity Works effectively and collaboratively with cross functional teams

Qualifications:
A bachelor's or master's degree in science with 0-6 months Statistical programming experience in CDISC/TLF Familiarity with SAS (mandatory) and R (Optional). Ability to prioritize, problem-solve, organize, and make decisions. Good communication skills Attention to detail * Excellent analytical/problem solving skills