Join a leading research group focused on systems pharmacology, computational biology, and metabolic regulation. You will help uncover how metabolic adaptation works in response to genetic and chemical changes, aiming to find new ways to treat diseases like cancer. Work with advanced technologies in a collaborative, international environment at the Department of Biomedicine in Basel.

• Develop new strategies that combine high-throughput metabolomics with 3D cell culture models.
• Conduct large-scale chemical and genetic studies in cancer cell line-derived spheroids.
• Create predictive models of drug response by comparing 2D and 3D cellular systems.
• Test and validate these models using patient tumour samples.
• Support and prepare scientific reports and journal articles.

• Master's degree in (Bio-)Physics, (Bio-)Engineering, Biological Sciences, Microbiology, Biochemistry, Systems Biology, Molecular Biology, Bioinformatics/Computational Biology, or a related field.
• Experience designing and running experiments with 2D and 3D (organoids, spheroids) cell cultures.
• Knowledge of basic statistical methods for large dataset analysis.
• Hands-on experience with key biochemical and molecular biological methods.
• Motivation to work in an international research environment.
• Experience with or willingness to learn systems biology approaches, high-throughput methods, and single cell imaging data analysis.
• Experience with programming languages such as Matlab, R, or Python.
• Excellent communication skills in English.
• Any of the following is a plus: experience with mass spectrometry, analysis of metabolomics data, or interest in mathematical modelling of metabolic and regulatory/signalling networks.

• Access to state-of-the-art research equipment in metabolomics, cell biology, time-lapse microscopy, and single cell analysis.
• Work in a dynamic, interdisciplinary team with computer scientists, experimentalists, and clinicians.
• Opportunities for cross-disciplinary collaboration and training to grow your scientific interests.
• Be part of a large network of experts in chemistry, engineering, clinics, computational biology, and Micro-, Cell-, and Immunobiology.
• Work closely with other research groups at the Department of Biomedicine and the Biozentrum in Basel.
• Strong support from experienced team members and the chance to lead projects with academic freedom.