Senior SAS Programmer

2 weeks ago

India Cytel Full time

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. 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 I-IV clinical trials. This role can be performed as fully remote. We believe in applying scientific rigor to reveal the full promise inherent in data. We believe in collaboration and invite a diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities. 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 ad-hoc reports utilizing raw data Applying strong understanding/experience of Efficacy analysis Communicating with and/or responding to internal cross-functional teams and client for project specifications, status, issues or inquiries Performing lead duties when called upon 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. 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 ad-hoc 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. Ability to provide quality output and deliverables, in adherence with challenging timelines.

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