Statistical Programmer 4

schedule: M-F core hours being 10-3 EST with some flexibility - must be 8 hours a day/40 hours weekWorking in a Team of: 4-7Personality style: Looking for someone who is proactive and engaging. Not afraid to ask questions.Candidate Introvert/Extrovert: Extroverted - will have client contactHow will performance be measured: Project reviews and progress through deliverablesMUST HAVE:Experience with Statistical Programming in a clinical trial settingSDTM/ADaM expertiseKnowledge of SASExperience writing specs/programming SDTM/ADaM datasetsExperience creating outputs using Proc reportHigh attention to detailNICE TO HAVE:Statistics degreeExperience with programming questionnaire dataExperience managing timelines and budgetsExperience being a lead of a study team or projectsEDUCATION:BS in Computer Science, Mathematics, or StatisticsSummary: The main function of the Statistical Programmer is to use broad technical and data analysis skills, as well as business and industry knowledge, to identify client needs for quantitative analysis.Job Responsibilities: Experience building regression-based models and using other modeling techniques. Hands-on SAS experience. SQL experience preferred. Skills: Perform data analysis, experimental design, and sample size determination in support of product R&D, process improvement/optimization, quality control, regulatory submissions, marketing research, and strategic decision-making. Apply current statistical methods when appropriate, and develop new methods when necessary. Determines relevant quantitative methods for solving client marketing issues. Assists in presenting ideas and findings to future and existing clients. Evaluates and improves internal tools and processes. Writereports and make oral presentations as required. Knowledge/coursework in mathematical statistics, linear statistical models, regression, nonparametrics, Bayesian inference, stochastic processes and applied probability, multivariate analysis, and categorical data analysis required. Knowledge/coursework in Six Sigma continuous improvement,statistical quality control, survey sampling, nonlinear regression and empirical modeling, modern regression methods, generalized linear models, optimization, and simulation preferred. Working knowledge of SAS or S-plus/R required. Knowledge of one or more general programming languanges, such as C++, Visual Basic, or Python preferred. High attention to detail. Strong problem-solving skills.