Senior Statistical Programmer FSP

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Join to apply for the Senior Statistical Programmer FSP role at Cytel 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. 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 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 leading-edge technology.
Responsibilities
Perform data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), utilizing SAS programming. Generate and validate SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs). Produce QC/validation programming. Generate complex ad-hoc reports utilizing raw data. Apply strong understanding/experience of efficacy analysis. Create and review submission documents and eCRTs. Communicate with and/or respond to internal cross-functional teams and clients for project specifications, status, issues or inquiries. Perform lead duties when called upon. Serve as a team player, with a willingness to go the extra distance to get results, meet deadlines, etc. Be adaptable and flexible when priorities change.
Qualifications
Bachelor’s degree in Statistics, Computer Science, Mathematics, etc. At least 8 years of SAS programming working with clinical trial data in the pharmaceutical & biotech industry (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. 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 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 cross-cultural partners.
Seniority level Mid-Senior level Employment type Full-time Job function Research, Analyst, and Information Technology Industry Pharmaceutical Manufacturing #J-18808-Ljbffr
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Location:
City Of London, England, United Kingdom
Job Type:
FullTime

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