Postdoc in Computational Systems Biology and Metabolic Modeling

Insel Gruppe; Bern; Vor Ort; CHF 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Work-life balance

Part-time options

Maternity leave 16 weeks

Paternity leave 3 weeks

Zusammenfassung

Insel Gruppe in Bern, Switzerland, seeks a Scientist in Computational and Systems Biology to advance MASLD research by integrating clinical data with experimental models.

You will develop models of human lipid metabolism, reconstruct tissue‑specific networks, and collaborate with clinical and computational teams; a PhD is required with strong modelling and multi‑omics skills.

Qualifikationen

• PhD or equivalent in computational biology, systems biology, applied mathematics, or a related field.
• Experience analysing high‑dimensional, multimodal clinical/biological data.
• Experience in in silico metabolic modelling (constraint-based, genome-scale, etc.).

Aufgaben

• Develop and apply mathematical, statistical, and ML models to multi‑modal biological datasets.
• Model lipid and nutrient metabolism using various modelling approaches.
• Reconstruct and model tissue‑specific metabolic networks and validate predictions.
• Collaborate across disciplines and publish findings.
• Present findings at meetings and conferences.

Kenntnisse

Mathematical modelling

Statistical modelling

Machine learning

Systems biology

R/Python/MATLAB

Metabolic modelling

Metabolic networks

Multimodal data

Team collaboration

English communication

Ausbildung

PhD in computational biology or related

Tools

R

Python

MATLAB

Jobbeschreibung

Dysregulation of lipid metabolism plays a key role in the development and progression of metabolic disorders, including obesity, type 2 diabetes, and metabolic dysfunction-associated steatotic liver disease (MASLD). We are seeking a highly motivated Scientist in Computational and Systems Biology to work on a project funded by the Swiss National Science Foundation (SNSF) aimed at advancing our understanding of human lipid metabolism in MASLD. The project focuses on modelling human metabolism by integrating clinical data with experimental models. It involves biochemical and molecular data from multiple tissues and biofluids to investigate tissue‑specific metabolism, metabolic interactions across organs, and nutrient uptake, transformation, and release. The project combines statistical modelling, systems biology, and in silico metabolic modelling with clinical, transcriptomic, proteomic, metabolomic/lipidomic, spatial molecular imaging, and experimental metabolic flux data to provide new insights into the complex metabolic alterations underlying MASLD

What you can expect

• 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
• 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

What we offer

• 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

Type of Contract

Research partnerships

• In partnership with the University of Bern, we offer the opportunity to participate in national and international research networks
• Work‑life balance
• Part‑time and job‑sharing opportunities
• 16 weeks of maternity leave
• 3 weeks of paternity leave

For further information, please contact, , , Head of Research

With the Inselspital, Bern University Hospital, the hospitals Riggisberg, Aarberg, Belp and the Bern Rehabilitation Center Heiligenschwendi, the Insel Gruppe forms the largest full‑service medical care system in Switzerland, from cutting‑edge medicine to primary care. More than 11,000 employees from 102 nations ensure that our patients are treated according to the latest developments, methods and possibilities in medicine