Senior Statistical Programmer FSP

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 Senior Statistical Programmer you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. 
 Position Overview: 

As a Senior Statistical Programmer, you will leverage your advanced SAS programming skills to support one or more Phase I-IV clinical trials, with a focus on Oncology. 

 Our values

• 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 the desire for discovery.
• We believe in collaboration and invite a diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities.
• We prize innovation and seek intelligent solutions using leading-edge technology.

How You Will Contribute:

• Performing data manipulation, analysis and reporting of clinical trial data on both safety and efficacy, utilizing SAS programming.
• Applying CDISC know-how and proficiency to create and validate ADaM datasets/analysis files as well as tables, listings, and figures (TLFs).
• Applying your strong understanding/experience with safety and efficacy analyses.
• Generating complex ad-hoc reports.
• Preparing and validating submission packages, i.e. define.xml, Reviewers Guides, Pinnacle 21 reports.
• 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.

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:    

• At least 5 years of relevant statistical programming experience in a clinical development environment with 3 years of efficacy preferred.
• BA/BSc or higher degree in Statistics, Mathematics, Computer Science, Life Sciences, or other related scientific subjects.
• Excellent SAS data manipulation, analysis, and reporting skills.
• Ability to implement the latest CDISC ADaM standards (production/validation).
• Strong understanding/experience with ADaM efficacy dataset development is required.
• Experience with Oncology is required. 
• Experience with submission packages is a plus 
• Working knowledge of latest CDISC SDTM standards. 
• Very good oral and written English communication skills.