Postdoc in Computational Systems Biology and Metabolic Modeling

Aufgaben: Develop and apply mathematical, statistical, and machine-learning models to complex, high-dimensional, and multimodal biological and clinical datasets, including spatial and imaging data • Model lipid and nutrient metabolism using compartmental, kinetic, mechanistic, metabolic network, or physiologically based approaches • Reconstruct and model tissue-specific metabolic networks and validate model predictions using experimental data • Participate in and contribute to multidisciplinary and collaborative research projects. • Prepare, present, and communicate scientific findings at internal meetings, international conferences, and through peer-reviewed publications

Anforderungen: PhD or equivalent in computational biology, systems biology, applied mathematics, biochemical engineering, or a related field • Strong expertise in mathematical and statistical modelling, machine learning, and systems biology, with experience analysing high-dimensional, multimodal, or multi-omics biological or clinical data • Demonstrated experience in in silico metabolic modelling, e.g. constraint-based or genome-scale metabolic modelling, metabolic network reconstruction, kinetic or metabolic flux modelling, or data-driven simulation • Proficiency in R, Python, or MATLAB and experience integrating experimental data with computational models; • Experience in mass spectrometry, spatial omics, molecular imaging, or tissue imaging is a strong asset • Enthusiastic and collaborative scientist with strong analytical and problem-solving skills, the ability to work independently and in multidisciplinary teams, and excellent written and spoken English

Wir bieten: A supportive, collaborative, and state-of-the-art research environment with opportunities for scientific and professional development • Participation in multidisciplinary research projects at the interface of computational biology, systems biology, metabolism, multi-omics, molecular imaging, and clinical research • The opportunity to work with large datasets from pre-clinical and clinical studies • Close collaboration with experts from different scientific and clinical disciplines

Stellenantritt: 1 October 2026 or by agreement

Pensum: 100 %

Arbeitsort: Inselspital, Universitätsspital Bern Freiburgstrasse, CH-3010 Bern Schweiz