Job Title

JOB DESCRIPTION The Statistical Programmer I (SP I) or Statistical Programmer II (SP II) Programs all tables, listings and graphs necessary for an assigned clinical study report (CSR); Programs customized data displays, (including data listings, summary tables and routine graphics) in accordance with the approved statistical analysis plan (SAP) and shell displays for clinical research studies; Writes code using Base SAS programs, SAS procedures, or standardized macros; Analyzes protocol, SAP, existing shells/templates as needed to understand structure and content of data; Performs data checks as needed, to ensure integrity and correctness of data displays; Prepares documentation for programs; Prepares documentation describing all datasets and variables within, including derived variables, and the project as a whole; Creates SAS datasets of clinical data from clinical databases; Creates status and efficacy datasets; Creates project-specific macros and formats; Loads client data from other platforms and other software packages; Prepares data to be sent to clients and as needed for other external transfers and data imports. In addition to above job duties, SP II also Assists manager and/or director to keep track project timelines and deliverables; Leads junior programmers in daily activities and performs on-the-job training to them; Communicates with clients for risks, issues, and potential delays. QUALIFICATION FOR ESSENTIAL FUNCTIONS Ability to communicate effectively in English, in both writing and verbal. Ability to learn quickly and pay attention to details. Ability to manage multiple tasks/projects, effectively prioritize and execute tasks, and make quality and on time deliveries. Ability to work collaboratively, effectively, and productively in diverse organizational structures, and in interaction with dynamic clients. Ability to work independently, takes ownership and strives for quality and efficiency. Ability to work positively in a continually changing environment. Solid/Advanced SAS skills and understanding of the concept of standardization in data, programming, and statistical reporting of trial results and its implication to drug development.