Postdoctoral Researcher in Machine Learning for Multi-Omics | Postdoctoral researcher in machine-learning for multi-omics (f/m/d)

Job Summary

This is an exciting 3-year, full-time Postdoctoral Researcher position at Heidelberg University's Institute of Pharmacy and Molecular Biotechnology (IPMB), focusing on cutting-edge precision medicine research. The role involves applying interpretable machine learning and statistical modeling to integrate complex multi-omic datasets, aiming to identify predictive signatures and develop treatment response models for metastatic papillary renal carcinoma (pRCC). The successful candidate will be a key member of a trans-national European consortium (EP PerMed), collaborating with clinical and experimental partners across Europe (Spain, Italy, France, Germany). Day-to-day tasks include establishing and maintaining centralized data storage infrastructure for multi-omic datasets and building predictive models for therapy response. This position offers access to unique datasets, advanced computational infrastructure, and a stimulating international research environment, making it ideal for a PhD holder in Bioinformatics or related fields seeking high-impact research.