
location_on948, Spencer Street, Makiki Kai, Honolulu, Honolulu County, Hawaii, 96822, 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 significant autonomy and ownership.
This is an exciting time to join this new program. You will leverage advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to generate and validate statistical programming deliverables, perform data manipulation and analysis, and create complex ad-hoc reports. The role involves collaborating with internal cross-functional teams and the client to manage project specifications, status, and inquiries, while serving as a team player ready to adapt to changing priorities.
At Cytel, we believe in applying scientific rigor to reveal the full promise inherent in data. 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, and we prize innovation by seeking intelligent solutions using leading-edge technology.
This role is hybrid and office-based, with a preference for locations in Pennsylvania (PA) or New Jersey (NJ). You will have the support of Cytel behind you while working directly within the client's environment.
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
948, Spencer Street, Makiki Kai, Honolulu, Honolulu County, Hawaii, 96822, United States
Honolulu, Hawaii
Experience with R, SPlus, or NonMem. Experience supporting Oncology studies.
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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).