Description du poste

L’Université de Berne et l’Hôpital Universitaire de Berne, UDEM, proposent un poste innovant.

Tâches

• Identifier la structure mathématique des modèles PK/PD des médicaments.

• Proposer des structures mathématiques pour un candidat médicamenteux sélectionné.

• Utiliser des données littéraires pour identifier les distributions des paramètres.

Compétences

• Étudiant en master en pharmacie, ingénierie biomédicale ou domaine proche.

• Expérience antérieure en modélisation PK/PD pour des médicaments.

• Compétences en programmation informatique (Matlab, Python ou similaire).

University of Bern and University Hospital Bern, Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism (UDEM)
Start of employment: By arrangement
Employment: limited term of three years – after three years, depending on further funding.
PrecisionLab, led by Prof. Jose Garcia-Tirado, aims to develop new technology for managing diabetes and metabolic disorders through novel digital interventions such as advanced decision-support tools and automated insulin delivery.

Job purpose and responsibilities

You work primarily on identifying the mathematical structure and parameters of a compartmental model describing the pharmacokinetic (PK)/pharmacodynamic (PD) of novel incretin medications used for glucose control and body weight reduction in people with type 2 diabetes. Specifically:
• Review the literature to understand the physiology mechanisms of action of these medications
• Propose different mathematical structures describing the PK of a selected medication candidate and test them in simulation
• Carry out the identification of the model parameter distributions using data from the literature

Requirements

A Must: • Master student in pharmacy, biomedical engineering, or a close field
• Previous experience in identifying PK/PD models for drugs or biomarkers
• Previous experience in computer programming (Matlab, Python, or similar)

We offer

• We provide excellent scientific expertise in a dynamic environment and support a career focusing on translational research
• A workplace in Bern, Switzerland’s capital, known for its high quality of life and surrounded by beautiful nature, perfect for hiking, biking, swimming, and winter sports

Application and contact

For subject-specific questions and information about the position, please contact E-Mail schreiben. Lire la suite