Scientific Assistant, Biomedical Machine Learning and Data Science | Scientific Assistant in Biomedical Machine Learning and Data Science

Job Summary

This role seeks a Scientific Assistant to join the highly international Biomedical Data Science (BMDS) Lab at ETH Zurich, focusing on data-driven solutions for neurological conditions like spinal cord injury (SCI). The core mission involves integrating diverse clinical, neurophysiological, and biomarker data from international databases using advanced machine learning techniques. The assistant will be responsible for exploring and managing heterogeneous SCI datasets, developing multi-branch deep learning models, and implementing a multi-task learning framework to predict patient recovery outcomes. This cutting-edge research aims to enhance predictive performance and interpretability, supporting personalized treatment strategies. Candidates must hold a Master's degree in a relevant technical field and possess strong Python programming skills, specifically utilizing Keras/TensorFlow and/or PyTorch. This is a unique opportunity to contribute to high-impact biomedical data science within a stimulating, collaborative, and multidisciplinary environment.