As a Statistical Programmer, you will leverage your advanced SAS programming skills to support or lead one or more Phase I-IV clinical trials, with a focus on any of the following studies; Immunology, Oncology, Cardiovascular, Infectious Disease, Early Development, or Medical Affairs.
Performing data manipulation, analysis, and reporting of clinical trial data, both safety and efficacy, utilizing SAS programming
Applying your SAS programming skills, to create and validate datasets/analysis files, tables, listings, and figures ( TLF s)
Generating complex ad-hoc reports
Preparing and validating submission packages
Applying your strong understanding/experience with Efficacy analysis
Preparing submission packages
Performing lead duties when called upon
Serving as team player, with a willingness to go the extra distance to get results, meet deadlines, etc.
Being adaptable and flexible when priorities change
At least 3+ years of relevant experience in statistical programming in the clinical development environment
BA/BSc or higher degree in Statistics, Mathematics, Computer Science, Life Sciences or other related scientific subject
Excellent SAS data manipulation, analysis and reporting skills
Familiarity with drug development life cycle and experience with the manipulation, analysis and reporting of clinical trials data
Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners
Excellent oral and written English communication skills
Ability to provide quality output and deliverables, in adherence with challenging timelines
Willingness and ability to learn and follow Company’s standard processes and procedures.
Ability to effectively perform complex statistical programming and related tasks
Willingness and ability to provide guidance to team members on technical and process questions
In-depth knowledge of SAS Graph and other SAS Statistical packages
Prior publication work experience
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.
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