Catalyst Clinical Research is hiring a
Senior Statistical Programmer

Summary

Join our team as a Statistical Programmer to develop new software applications, create computational approaches, and consult with researchers. You will design and apply bioinformatics algorithms, program data displays, and perform data checks. This role requires strong communication skills and the ability to work in a multi-disciplinary setting.

Requirements

• Master’s degree in Computer Science, Mathematics or related field of study
• Two (2) years related experience as a Statistical Programmer, SAS Developer Associate or any related position requiring statistical programming as core job duty
• Two (2) years of experience with each of the following: Programming Tables, Listings, and Figures; Utilizing CDISC/SDTM/ADaM and SAS programming; Developing custom SAS programs; Creating SDTM Specifications; and Handling P21 reporting and DEFINE, SDRG, and ADRG development
• Up to 5% domestic travel required

Responsibilities

• Develop new software applications or customize existing applications to meet specific scientific project needs
• Create novel computational approaches and analytical tools as required by research goals
• Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies
• Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences
• Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms
• Program routine and customized data displays, (including listings, tables, and graphics) in accordance with the approved Statistical Analysis Plan and shell displays
• Code is to be written using SAS, SAS procedures, or standardized macros
• Create safety and efficacy SAS datasets
• Create project specific macros and formats
• Perform data checks as needed, to ensure integrity and correctness of data displays and to understand structure and content of data
• Perform QC/validation of datasets, tables, listings, figures to verify the output
• Establish, maintain, and strengthen professional working relationship with clients, potential clients, regulatory agencies, collaborating staff, vendor, and subcontract personnel
• Represent department and company in a multi-disciplinary setting, including project team meetings, client meetings/presentations
• Ensure the quality and integrity of data analysis and reporting
• Maintain awareness of project budgets and tasks, and effectively communicate the status of such tasks to management
• Contribute to the development of functional-level standards, tools, and templates
• Interact across operational areas as required
• Interact with sponsor representatives as required