
location_on101, East Main Street, Monroe Ward, Richmond, Virginia, 23284, United States
This position is sponsor-dedicated, meaning you will work fully embedded within one of our global pharmaceutical clients. As a Senior Statistical Programmer, you will be at the heart of their innovation, supporting or leading Early and Late-stage clinical trials. You will join a company driving the next generation of patient treatment, where you are empowered to work with autonomy and ownership.
This is an exciting time to join a new program designed to support your growth. You will leverage advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to generate and validate statistical programming deliverables. Your work will span all therapeutic areas, including Early Development Statistics and PK/PD Modeling and Simulation, ensuring scientific rigor reveals the full promise inherent in data.
At Cytel, we nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and a desire for discovery. We believe in collaboration, inviting a diversity of perspectives to create a wealth of possibilities. We prize innovation and seek intelligent solutions using leading-edge technology. We are committed to your success through consistent training, development, and support.
This role is hybrid and office-based, preferably in Pennsylvania (PA) or New Jersey (NJ).
Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.
Work model: Hybrid
101, East Main Street, Monroe Ward, Richmond, Virginia, 23284, United States
Richmond, Virginia
Cytel • Honolulu, Hawaii
Cytel • Tallahassee, Florida
Skills: Sas, Cdisc, SDTM, Adam, PK/PD Modeling And Simulation, Efficacy Analysis, Safety Analysis, R, Splus, Nonmem.
Education: Bachelor's degree in Statistics, Computer Science, Mathematics, etc.; Master's degree or above (reduces experience requirement to 6 years).
Experience with R, SPlus, or NonMem. Experience supporting Oncology studies.
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