A qualified and experienced statistical programmer with a keen eye for identifying the time consuming and error prone tasks and the task that could be automated within an assignment.Highly developed computer skills, in both SAS (SAS certified.), Microsofts .NET Framework. and Spotfire (visualization tool). Experience with most of the Danish pharma companies and with working as a consultant for a diversity of clients with different backgrounds and cultures. Skilled in working with large datasets and complex study designs.My responsibilities have spanned from● AWS Serverless applications with AWS lambda and API gateway using Python, C# Tensorflow serving using AWS lambda Creating an AWS event driven infrastructure with a corrosponding QMS system ● Data visualizations: Data visualization in Spotfire (Medical Monitoring, Risk-based monitoring and more..) Building a data foundation based on CDISC standards for a Spotfire visualization platform Data visualizations and web applications with D3.js + ReactJs + Redux Hybrid mobile apps with Phonegap● CDISC: Mapping eCRF data to SDTM, Creation of Submission packages (SDTM, Define.xml, annotated CRF, reviwers guide) Developing/maintaining a CDISC SDTM Library (incl. validation documentation, testing and deployment) Creation of mapping tools for transforming legacy data to CDISC SDTM/ADAM format Creation og Analysis datasets (ADAM)● Reporting Creation and validation of high quality TLF’s (Tables, Listing and Figres) Integrated safety summaries Creation and validation of legacy analysis data In-sourced Consultancy Data Monitoring Commitiees ● Data management Custom functions programming in RAVE (C#) PL/SQL programming in EDM ORACLE SQL Creation of CDASH forms in Inform Courses: XML transformations with XSLT stylesheets. Superusers, Hillerød.Rave Custom Function Programming Workshop. Medidata.CDASH Implementation Course. CDISC.