Work with respected experts and thought leaders in the fields of biostatistics and statistical programming.īy applying to this role, you will be considered for multiple opportunities within Microsoft across the United States including locations beyond where the role is posted. In addition to a competitive compensation, we offer an excellent benefit's package, annual bonus incentive, promote work-life balance, and the opportunity to grow with us! Our collaborative working environment encourages innovation and rewards results, and we are proud to have one of the lowest turnover rates in the industry. Submissions experience utilizing define.xml and other submission documents.Įxperience supporting Rare diseases and Gastro Intestinal studies would be a plus.Įxcellent analytical & troubleshooting skills.Ībility to provide quality output and deliverables, in adherence with challenging timelines.Ībility to work effectively and successfully in a globally dispersed team environment with cross-cultural partners. Solid experience implementing the latest CDISC SDTM / ADaM standards.įamiliarity with drug development life cycle and experience with the manipulation, analysis and reporting of clinical trials' data. Strong SAS data manipulation, analysis and reporting skills. Study lead experience, preferably juggling multiple projects simultaneously preferred. At least 6 years of related experience with a master's degree or above. Serving as team player, with a willingness to go the extra distance to get results, meet deadlines, etc.īeing adaptable and flexible when priorities changeīachelor's degree in one of the following fields Statistics, Computer Science, Mathematics, etc.Īt least 8 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor's degree or equivalent. Generating complex ad-hoc reports utilizing raw dataĪpplying strong understanding/experience of Efficacy analysisĬreating and reviewing submission documents and eCRTsĬommunicating with and/or responding to internal cross-functional teams and client for project specifications, status, issues or inquiries Production and QC / validation programming Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures ( TLFs) Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), utilizing SAS programming
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