Senior Statistical Programmer - Pharmaceutical Industry

Join our dynamic team as a Senior Statistical Programmer, where you'll be at the forefront of innovation within a global pharmaceutical company. This is an extraordinary opportunity to be a part of a new program that is shaping the future of patient treatment. Position Overview: As a Senior Statistical Programmer, you will utilize your advanced programming skills in SAS and your knowledge of CDISC standards (SDTM & ADaM) to support or lead multiple Phase I-IV clinical trials. Enjoy the flexibility of working fully remote while being dedicated to a collaborative and forward-thinking team. Key Responsibilities: Perform data manipulation, analysis, and reporting of clinical trial data for safety and efficacy. Generate and validate SDTM and ADaM datasets, including the creation of tables, listings, and figures (TLFs). Engage in quality control and validation programming, ensuring high standards are met. Produce complex ad-hoc reports from raw data. Apply your knowledge to efficacy analysis and contribute to the creation and review of submission documents. Communicate with internal teams and clients regarding project specifications, status updates, and inquiries. Take on lead responsibilities when necessary and support team efforts to achieve project goals. Adapt and respond flexibly to changing priorities and project demands. Your Qualifications: Bachelor's degree in Statistics, Computer Science, Mathematics, or a related field. At least 7 years of experience in SAS programming with clinical trial data in the Pharmaceutical & Biotech sector, or at least 6 years with a master's degree. Experience functioning as a study lead, managing multiple projects simultaneously. Strong proficiency in SAS data manipulation, analysis, and reporting. Familiarity with R programming as it pertains to clinical trial analysis. Solid understanding of CDISC SDTM / ADaM standards. Excellent QC/validation and ad-hoc reporting skills. Understanding of the drug development lifecycle and experience in analyzing clinical trial data. Experience with submission documents such as define.xml. Previous work supporting immunology, respiratory, or oncology studies is a plus. Outstanding analytical and troubleshooting abilities. Capability to deliver quality outputs under tight deadlines. Aptitude for working effectively in a globally dispersed team environment. At Cytel, we prioritize employee success through ongoing training, development, and support. If you are passionate about contributing to groundbreaking projects and possess the qualifications mentioned, we encourage you to apply. Cytel Inc. is an Equal Employment / Affirmative Action Employer. We welcome applicants of all backgrounds and experiences.