Senior Business Analyst with Pharma/ Statistical Computing Enviorment

Senior Data Science Business Analyst to contribute to modernization and reengineering of statistical computing environment data science platforms used in clinical drug development. Bridge the gap between business needs and technology solutions. Act as a liaison between business stakeholders and technical teams ensuring business needs are understood, translated into requirements, and successfully implemented. Will be responsible for requirements gathering and analysis, process mapping and documentation, solution design and evaluation, requirements management, stakeholder management, change management, and data analysis. Experience in projects deploying, validating or using common data science languages such as SAS, R, PYTHON as well as related tools (SAS/Studio Rstudio, Rshiny, and open-source r and python packages), and familiarity with clinical data standards (CDISC STDM and Adam models). Sas with strong business analysis experience but more focused on data science. A key factor would be more experience with open-source statistical computing using R, Rstudio, Python, etc. And using these tools for regulatory submissions