Postdoc: Multi-Omics Metabolic Modeling & Systems Biology

INSELSPITAL; Bern; Vor Ort; Vertraulich; Vollzeit

Benefits dieser Stelle

Collaborative research environment

Professional development opportunities

Access to large biomedical datasets

Zusammenfassung

Inselspital, Bern University Hospital, is seeking a researcher to develop and apply mathematical and ML models to complex biological datasets, including multi-omics data. You will work on metabolic network reconstruction and validation using experimental data, contributing to multidisciplinary projects and scholarly publications.

The role offers a collaborative, state‑of‑the‑art research environment with opportunities for scientific and professional development in metabolism, systems biology,

Qualifikationen

• 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 high‑dimensional data experience.
• Experience in in silico metabolic modelling, network reconstruction or data‑driven simulation.

Aufgaben

• Develop and apply mathematical, statistical and ML models to complex biological data.
• Reconstruct and validate tissue‑specific metabolic networks with experimental data.
• Collaborate in multidisciplinary research projects and communicate results internally and at conferences.

Kenntnisse

Mathematical modelling

Statistical modelling

Machine learning

Systems biology

R

Python

MATLAB

Ausbildung

PhD or equivalent in computational biology/related field

Jobbeschreibung

Inselspital, Bern University Hospital, is seeking a researcher to develop and apply mathematical and ML models to complex biological datasets, including multi-omics data. You will work on metabolic network reconstruction and validation using experimental data, contributing to multidisciplinary projects and scholarly publications.

The role offers a collaborative, state‑of‑the‑art research environment with opportunities for scientific and professional development in metabolism, systems biology,