Research Scientist II

Novartis AG; Basel; Vor Ort; CHF 90.000 - 140.000; Vollzeit

Zusammenfassung

Novartis AG in Basel, Switzerland is recruiting scientists who are passionate about applying cutting-edge omics technologies. The role focuses on single-cell profiling and spatial omics to advance discovery and translational research, leveraging large-scale datasets and computational approaches.

The candidate will operate at the interface of experimental biology, data science, and therapeutic discovery to accelerate innovation.

Jobbeschreibung

Role type: Onsite working, #LI-Onsite Location: Basel, Switzerland Relocation Support: This role is based in Basel, Switzerland.

Single-cell and spatial omics technologies are transforming biomedical research by enabling deep characterization of complex biological systems at unprecedented resolution. These approaches provide unique insights into cellular heterogeneity, rare cell populations, disease mechanisms, and treatment responses across a wide range of preclinical and translational research applications. Single-cell profiling plays a critical role in the development and validation of advanced experimental models, helping ensure that research systems are well characterized and biologically relevant. In addition, large-scale single-cell datasets are increasingly used to support data-driven discovery approaches, including the development of computational and artificial intelligence models for biological interpretation and target identification. Complementing these capabilities, spatial transcriptomics enables the analysis of gene expression within intact tissue architecture, providing essential context on cellular organization, cell-cell interactions, and tissue responses. Together, single-cell and spatial technologies bridge discovery and translational research by linking molecular insights to biological function across diverse model systems and human samples. We are seeking scientists who are passionate about applying cutting-edge omics technologies, leveraging large-scale datasets, and working at the interface of experimental biology, data science, and translational research to accelerate scientific innovation and therapeutic discovery.