Job Description

Cytel provides unrivaled biostatistics and operations research knowledge to our customers in the life sciences industries in the form of both software and services. At Cytel, we work hard to create successful careers with significant professional growth for our employees, as a result of which they work hard to make Cytel successful. Cytel is a place where talent, experience and integrity come together to advance the state of clinical development 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.

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  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