Statistical Programmer Consultant

Our client, a leading Life Sciences Company, needs to hire a Statistical Programmer to provide programming support for Phase 1 to Phase 3 studies, including project integration and disease monitoring project work. This is a 6-month contract, 100% REMOTE. Qualified candidates must be able to work on a W2 basis. Responsibilities Provides timely support to the project team on all statistical programming matters according to the project strategy. Programs SDTM/ADaM/TLFs for the studies, write datasets specification, QC datasets and tables. Identifies and communicates changes in project requirements that may affect key deliverables. Involved in the programming activities on multiple projects/ studies across various therapeutic areas, both internally and externally by CROs Creates and reviews annotated CRF to SDTM datasets Provides support in balancing conflicting priorities, promoting communication and adequate information flow to motivate, encourage and align people with the company' s strategic objectives Functions as a positive role model for setting high expectations for quality, creativity and project ownership Works collaboratively with Clinical Operations, Clinical Data Management, Global Drug Safety, Regulatory and Project Management management/staff to meet project deliverables and timelines for statistical data analysis and reporting Provides technical input into documents produced by other functions (e.g., biostatisticians, data managers, medical writers) Works with Biometrics and other functions for the development and maintenance of the data review and reporting tools, and any other statistical applications as appropriate Required Experience Master's Degree in Statistics, Computer Science, Mathematics, Engineering or related discipline Minimum of 1-5 years of clinical trial programming experience in the biotechnology, pharmaceutical or health related industry Advanced SAS programming skill s and experience in other statistical software, such as R and S-Plus Experience and in-depth knowledge in CDISC including SDTM, ADaM, and controlled terminologies Excellent organizational skills and ability to prioritize tasks

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