Gabriela Stumberger

Practice-oriented, full-time professional development program covering the full lifecycle of life science products, including development, clinical trials, regulatory approval, manufacturing, and commercialization.

• Developed automated Python analysis pipelines for reproducible and scalable processing and quantitative analysis of large, multidimensional image datasets • Statistically analysed and visualized large, multidimensional image and omics datasets using Python and R to identify genomic targets of interest • Successfully managed an interdisciplinary project, and cross-functional collaborations with labs throughout Germany, ensuring effective communication and timely completion within a strict 3-year deadline

• Conducted quantitative data analysis and statistical evaluation of gene expression and microscopy data using Python and R • Independently planned, coordinated and executed fluorescence microscopy and sequencing experiments • Developed and troubleshot SOPs for FISH sample preparation • Regularly presented experimental and analysis results to cross-functional, international teams in weekly meetings • Evaluated in-house software as end-user for functionality, correctness, and usability