Dynamic Statistical Programmer with experience at DASTA GmbH, adept in SAS and R programming. Successfully established a quality control framework that reduced dataset errors significantly. Proficient in statistical methods for clinical trials, including Kaplan-Meier and Cox Regression, while demonstrating strong collaboration skills in team environments.
Overview
19
19
years of professional experience
Work History
Statistical Programmer
DASTA GmbH
Mannheim, Germany (Remote)
05.2007 - 12.2025
Collaborated with team to support data collection and analysis for clinical trials.
Assisted in programming statistical analyses using SAS and R for research projects.
Contributed to documentation of statistical methodologies and reporting standards.
Gained experience in data management processes, ensuring integrity and accuracy.
Supported preparation of datasets for regulatory submissions and compliance reviews.
Participated in meetings to discuss project progress and provide updates on analyses.
Learned to utilize various statistical software tools to enhance data insights.
Ensured regulatory compliance with FDA guidelines, maintaining strict adherence to industry standards.
Established a comprehensive quality control framework that significantly reduced errors within datasets.
Gained experience with CDISC standard (SDTM Mapping, ADaM Datasets First Line Programmer and QCer)
Experienced in the developement of Tables, Listings and Graphs (TLG) with SAS and gained first experience with R
Education
High School Diploma -
FH Darmstadt
Darmstadt, Germany
07-2004
Skills
SAS programming language
R programming
Experienced with Pinacle21 for the preparation of e-Submissions
Basic knowledge in statistical methods for the evaluation of clinical trials (Kaplan-Meier Estimates, Cox Regression, Logistic Regression, ANOVA, MMRM analyses, etc)