Statistical Programmer

Statistical Programming ConsultantRequirements:B.Sc., M.Sc., or equivalent education in Biostatistics/Statistics, Bioinformatics, Life Sciences, Mathematics, Physical Sciences, or related fieldsAdvanced SAS macro programming experience is required for the development of global tools that will increase the efficiency and capacity of the Statistical Programming groupAt least 6 years of Clinical trials related work experience in SAS programming, analysis and reporting in the context of drug development projects is requiredWell experienced in Pinnacle21 validation process, generating define xml using Pinnacle 21Extensive experience in implementing CDISC standards, as well as annotating CRFs, creating specifications for SDTM and ADaM datasetsExperienced in creating Define.xml and the corresponding Reviewers' Guide for SDTM and ADaM datasetsGood verbal and written communications skills in EnglishDemonstrated knowledge of clinical drug developmentProficiency in conducting advanced statistical analysesMust be independent, attention to detail, accountable to quality and timely deliveryAbility to work on multiple collaborative projects, team player mentalityResponsibilities:As a Statistical Programming Consultant, you will use your SAS and R programming skills to prepare SDTM and ADaM datasets, Tables, Listings, & Figures (TLFs), as well as create related documents such as aCRF, programming specifications, and define packages (including reviewer's guides) for Phase 1 to Phase 4 clinical trialsIn addition, you will conduct quality control and quality assurance activities on datasets and outputs and may participate in company initiatives to improve the efficiency of end-to-end statistical programming activities, analysis, and reporting (IT, methodology, automation, quality)You will work closely in teams led by statistical programmers, statisticians, and drug development consultants, supporting a variety of client projects across various therapeutic areas and complexities