Senior Statistical Programmer at IQVIA

Job Description IQVIA, formerly Quintiles and IMS Health, Inc.,is an American multinational company serving the combined industries of health information technology and clinical research. It is a provider of biopharmaceutical development and commercial outsourcing services, focused primarily on Phase I-IV clinical trials and associated laboratory and analytical services, including consulting services. It has a network of more than 58, employees in more than countries.As of , IQVIA was reported to be one of the world’s largest contract research organizations Job Overview: As a Senior Statistical Programmer, you will be given access to cutting-edge, in-house technology and opportunities to work on global projects across a variety of therapeutic areas. Thanks to our development opportunities and mentoring at all levels, you will be able to progress your long-term career in the direction you choose. You will provide experienced technical expertise to develop process methodology for the department to meet internal and external clients’ needs. You will plan and coordinate the development of integrated programming solutions, serving the full spectrum of statistical programming needs, along with providing technical expertise and leadership to the department and provide internal consulting services, including specifications and user needs analysis for complex project or client requirements. Acting as a lead on studies, you will directly communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and project timelines and support the training of new or junior team members. As well as, estimating programming scope of work, manage resource assignments, communicate project status and negotiate/re-negotiate project timelines for deliverables. Requirements: Bachelors or Masters’ in Computer Science, Mathematics or equivalent 5+ years Statistical Programming experience within the Life-Science industry Experience in SAS Base, and good knowledge of SAS graph and SAS Macros Excellent knowledge of CDISC standards (SDTM and ADaM) Strong understanding of clinical trial data and extremely hands on in data manipulations, analysis and reporting of analysis results. In-depth knowledge of applicable clinical research regulatory requirements, i.e. Good Clinical Practice #J-18808-Ljbffr