Senior/Principal Statistical Programmer SAS + R (Remote) Sponsor-dedicated: Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Principal Statistical Programmer you will be dedicated to one of our integral pharmaceutical clients;
The Principal Statistical Programmer works independently with only concept level instruction and very little supervision, tracks progress, and provides expert technical support to team members. We are looking for a highly experienced senior statistical programmer who will work on clinical development programs on different therapeutic areas and participate in overseeing CRO programmers to ensure that data summaries are delivered in a consistent, high-quality manner. This individual will be responsible for implementing all reporting and analysis activities for the Sponsor clinical trials.
Xml filesfor multiple studies
Develop SAS programs which generate datasets, complex listings, tables, and complex graphs
Deliver high-quality statistical programming results including developing, validating, and maintaining SAS and/or R programs




Support the preparation of clinical study reports, regulatory submissions, publications, DSUR, and exploratory analyses
Understand and follow FDA regulations which affect the reporting of clinical trial data
Participate in the development of CRFs, edit check specifications, and data validation plans
Provide review and/or author data transfer specifications for external vendor data
Collaborate with internal and external functions to ensure meeting project timelines and goals
Qualifications: At a minimum bachelor 's degree in computer science, data science, mathematics, or statistics;
exceptional SAS programming skills;
Xml) experience;
Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have the following preferred qualifications: experience with pharmacokinetic data and neuroscience;
proficiency in languages/tools other than SAS (e.R, Python, Java, Shiny, Markdown, Unix/Linux and git).

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