Basel, Switzerland
Internship Explorer
Internship Explorer
At Roche Pharma Research and Early Development (pRED), we transform cutting-edge science into life-changing therapies. By decoding transcriptional, mutational, and clinical profiles at scale, our computational genomics and multi-omics teams drive precision oncology through patient stratification and biomarker discovery. We develop robust, reproducible workflows using internal, real-world, and public datasets, applying statistical modeling and machine learning. As an intern in our Computational Sciences department, you will work within an interdisciplinary team at the forefront of computational biology to optimize clinical trials and discover new resistance mechanisms. * Analyze and integrate multi-omic and clinical data from large clinico-genomic cohorts, including internal, in-licensed, and public datasets. * Perform comparative and enrichment-style analyses to identify clinically relevant molecular phenotypes and biomarkers, such as resistance-associated states and lineage programs. * Evaluate and benchmark findings against established approaches and gene signatures to ensure scientific accuracy. * Partner with a team of computational biologists, translational scientists, and biomarker scientists to drive creative, independent solutions. * Deliver high-quality analysis code and outputs in a reproducible, version-controlled format (git) with clear documentation. * Contribute to real-world therapeutic research with the potential for results to be featured in conference presentations or journal publications.
