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. This is an exciting time to be a part of this new program.
Position Overview
As a Senior Statistical Programmer you will leverage your advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase IIV clinical trials. This role can be performed as fully remote.
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 leadingedge technology.
Responsibilities
How you will contribute:
Performing data manipulation analysis and reporting of clinical trial data both safety and efficacy (ISS/ISE) utilizing SAS programming
Generating and validating SDTM and ADaM datasets/analysis files and tables listings and figures (TLFs)
Production and QC / validation programming
Generating complex adhoc reports utilizing raw data
Applying strong understanding/experience of Efficacy analysis
Creating and reviewing submission documents and eCRTs
Communicating with and/or responding to internal crossfunctional teams and client for project specifications status issues or inquiries
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
Qualifications
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:
Bachelor’s degree in one of the following fields Statistics Computer Science Mathematics etc.
At least 8 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor’s degree or equivalent. At least 6 years of related experience with a master’s degree or above.
Study lead experience preferably juggling multiple projects simultaneously preferred.
Strong SAS data manipulation analysis and reporting skills.
Solid experience implementing the latest CDISC SDTM / ADaM standards.
Strong QC / validation skills.
Good adhoc reporting skills.
Proficiency in Efficacy analysis.
Familiarity with drug development life cycle and experience with the manipulation analysis and reporting of clinical trials’ data.
Submissions experience utilizing define.xml and other submission documents.
Experience supporting immunology respiratory or oncology studies would be a plus.
Excellent analytical & troubleshooting skills.
Ability to provide quality output and deliverables in adherence with challenging timelines.
Ability to work effectively and successfully in a globally dispersed team environment with crosscultural partners.
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