Senior Statistical Programmer

This role can be performed as fully remote.\n\nOur values\nWe believe in applying scientific rigor to reveal the full promise inherent in data.\nWe nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and the desire for discovery.\nWe believe in collaboration and invite a diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities.\nWe prize innovation and seek intelligent solutions using leading-edge technology.\nResponsibilities\n\nHow you will contribute:\nPerforming data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), utilizing SAS programming\nGenerating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs)\nProduction and QC / validation programming\nGenerating complex ad-hoc reports utilizing raw data\nApplying strong understanding/experience of Efficacy analysis\nCreating and reviewing submission documents and eCRTs\nCommunicating with and/or responding to internal cross-functional teams and client for project specifications, status, issues or inquiries\nPerforming lead duties when called upon\nServing as team player, with a willingness to go the extra distance to get results, meet deadlines, etc.\nBeing adaptable and flexible when priorities change\n\nQualifications\nHere 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:\nBachelor’s degree in one of the following fields Statistics, Computer Science, Mathematics, etc.\nAt 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.\nStudy lead experience, preferably juggling multiple projects simultaneously preferred.\nStrong SAS data manipulation, analysis and reporting skills.\nSolid experience implementing the latest CDISC SDTM / ADaM standards.\nStrong QC / validation skills.\nGood ad-hoc reporting skills.\nProficiency in Efficacy analysis.\nFamiliarity with drug development life cycle and experience with the manipulation, analysis and reporting of clinical trials’ data.\nSubmissions experience utilizing define.xml and other submission documents.\nExperience supporting immunology, respiratory or oncology studies would be a plus.\nExcellent analytical & troubleshooting skills.\nAbility to provide quality output and deliverables, in adherence with challenging timelines.\nAbility to work effectively and successfully in a globally dispersed team environment with cross-cultural partners.