Verena Steffen

Biostatistics Trainee in Product Development, Biometrics, Biostatistics at Genentech.

Client Intelligence Analysen mit R und Python. Anwendung von Machine Learning Methoden zur Vorhersage von Produktaffinitäten. Visualisierungen mit Tableau.

· TA for MAT183 (Stochastics). · Giving classes and correcting exercises weekly.

· Simulate data using mixed effects models with periodic splines. · Use R to implement a Monte–Carlo-Simulation scenario. · Write a study report and present the outcomes of the study.

· Develop Immunoassays for the Elecsys high throughput system under GCP and GLP guidelines. · Apply methods of protein chemistry, immunology and biostatistics. · Assess experiments and interpret results.· Illustrate and discuss continuative development steps in multifaceted teams. · Produce small scale products and support transfer from R&D to large scale operations. · Document results and conclusions carefully and independently.

· ”Development of monoclonal antibodies from murine bone marrow plasma cells with single cell PCR”. · Working on development of monoclonal antibodies with classical Hybridoma Technology and B–cell PCR. · High throughput screening with automated ELISA liquid handling systems. · Establishing an improved PCR protocol for robust amplification of variable region genes from low concentrated cDNA samples. · Developing a sensitive single cell supernatant ELISA.

Masterarbeit: Transformation Forests for Survival Data mit Prof. Dr. Hothorn (UZH). Statistical Consulting: In-hospital glucose control – a retrospective analysis of the year 2014 at the University Hospital Bern

Biochemistry, Molecular & Cell Biology, Microbiology, Cell Culture Technique, Quality Management, Pharmacology and Toxicology, Patent Law, Process Engineering.