Statistical Analyst

The Statistical Analyst will assist asset/study statisticians to fulfill the analytical requests using multiple data sources to answer questions related to clinical trials and epidemiological research on vaccine development in pharmaceutical settings. The analyst will use statistical software to analyze, summarize and report data. This person will also perform analysis with clinical trial or research data to provide support to publications and method development. Will deliver technical presentations as required.The objective is to provide quantitative support in analyzing clinical trials/epidemiology study/healthcare data. The responsibilities may include contributing to assisting statisticians in developing study protocols and statistical analysis plans, and working with other lines of clinical/medicine/scientific team, to execute the statistical analysis plan. This candidate will need to work under the Pharma regulation setting to make sure the work is conducted with high quality and in compliance.Responsibilities:Assist in developing statistical analysis plan (SAP) and analysis table/listing/figure (TLF)Write analytical programs to generate analysis TLFs, and/or independently validate/QC existing TLFs using SAS® statistical softwarePrepare standardized analytical SAS data set by industry standard from varied data source with varied format, may need to clarify the data inconsistency with sites/collaboratorsPerform quality control checks for programming work and keep good documentationUnderstand data structure and analyze datasets from variate source to answer research questionsCommunicate with the study team to understand the research need and to report data.Qualifications:Master’s degree in statistics or related subjects required (PhD or MD acceptable)A minimum of 2+ years of pharmaceutical/CRO experience analyzing life science dataStrong statistical analysis skillsGood understanding of statistical methods and interpretation of statistical outputsProficiency in SAS and Excel is requiredExperience with other statistical packages such as R, is preferredProficiency in several statistical software packages, especially good skills in SAS® programmingExperience with medical terminology and understanding of clinical/epidemiology research is preferredExperience with visualization software is beneficialGood oral and written communication skillsWork within a team environment to ensure alignment of common goals and maintain positive interaction with team members and internal peersWork independently on multiple projects prioritizing according to project needs.

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