Research Associate (f/m/d) / 13792 / Institute for Artificial Intelligence in Medicine (IKIM)
Core
Conduct high-level interdisciplinary research on early mechanisms of therapy resistance in melanoma using single-cell and spatial omics within a DFG-funded Collaborative Research Centre.
Role type
Research Associate (bioinformatics & single-cell omics)
Builds
Scientific insights into tumor dynamics and therapy resistance mechanisms
Domain
Biomedical research / Cancer biology / Bioinformatics
Deliverable
research
Required skills
Single-cell omics analysis, Multi-omic data integration, Perturbation modeling, Molecular biology, Bioinformatics, Melanoma research experience
Preferred skills
Spatial biology, Multi-modal data integration, Precision medicine
Technologies
Single-cell sequencing, Spatial omics, Multi-omic sequencing pipelines
Responsibilities
Characterize murine melanoma models upon immunotherapy, Analyze single-cell omic data and integrate multi-modal datasets, Apply state-of-the-art single-cell and spatial omics techniques, Present scientific results at conferences