







Within Roche Pharma Research & Early Development (pRED), the ADME (Absorption, Distribution, Metabolism, and Excretion) Chapter plays a crucial role in understanding and predicting the effects of new medicines on the human body. We focus on key mechanisms of drug behavior, leveraging cutting-edge techniques such as 3D cell culture, in silico modeling, and lab automation to accelerate research and development. We are expanding our capabilities in lab automation and digitalization to enhance our processes and outcomes. You'll contribute to impactful projects focused on lab automation and digitalization, with exciting opportunities to dive into data science applications. For this internship, your work will be two-fold: developing a digitalization platform for bioanalytics data, and developing a specific Data Analysis (DA) pipeline project in Genedata Screener. Specifically, you will: * Work with interdisciplinary teams to automate and digitalize workflows, analyze data, and support ongoing research initiatives. * Build a front-end & API integration for a new database storing bioanalytics data. * Build a data analysis pipeline by translating an existing R-Shiny application into a Genedata Screener workflow. * Gain hands-on experience in developing and implementing automated assays and workflows. * Contribute to projects focused on digitalization and data management. * Learn about cutting-edge technologies and methodologies used in pharmaceutical research and development.