Postdoc in Translational Metabolic Research and Digital Biomarkers of Glucose Homeostasis

About the role

The University of Copenhagen is seeking a highly motivated and talented Postdoctoral fellow to commence on November 15, 2026, or after agreement in the Treebak Group at the Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR), University of Copenhagen.

Job Description

We strive to uncover novel digital biomarkers of glucose homeostasis by leveraging high-resolution continuous glucose monitoring (CGM) data across both mice and humans. This project is founded on the premise that dynamic features embedded in CGM time-series data capture essential aspects of metabolic regulation that are not accessible through conventional clinical measurements. Your tasks would be to extract, characterize, and validate such biomarkers from large-scale murine CGM datasets and evaluate their robustness across diverse physiological and experimental conditions. A central objective will be to determine the translational relevance of these biomarkers by aligning murine findings with human CGM data and established clinical indicators of metabolic health. You will further contribute to bridging experimental and clinical research by back-translating human-derived glycemic signatures into mechanistic studies in mouse models. The project integrates computational analysis, physiology, and large-scale human data to establish a unified framework for interpreting glucose dynamics across species. Through this work, we aim to advance a systems-level understanding of glucose regulation and improve early detection of metabolic dysfunction. Ultimately, the position offers a unique opportunity to contribute to the development of scalable, physiology-informed tools for translational metabolic research.

Profile

The Postdoc fellowship is aimed at early-career researchers with a basic science background or clinicians who aspire to a career in academic medicine. We are particularly interested in candidates who are familiar with integrative research approaches within the broad area of basic cardiometabolic research with an application toward human pathophysiology.

Required qualifications

• PhD in biomedical sciences, physiology, computational biology, biostatistics, or a related quantitative life science discipline
• Strong experience in analysis of large-scale time-series or high-dimensional datasets, preferably within metabolic or physiological research
• Proficiency in programming (R and/or Python) with a focus on reproducible data analysis and statistical modeling
• Solid understanding of metabolic physiology, particularly glucose homeostasis and insulin action
• Experience with continuous physiological monitoring data (e.g., CGM) or similar longitudinal datasets is highly desirable
• Familiarity with machine learning or advanced data-driven approaches for biological data analysis
• Demonstrated ability to work in interdisciplinary and collaborative research environments, with strong communication and scientific writing skills

Eligibility

The Postdoc fellowships within the CBMR International PhD & Postdoc Program are open for applicants with a PhD degree awarded from a university outside of Denmark. The program is also open for applicants with a Danish PhD degree who can document at least 12 months of full-time research experience from outside Denmark during or after the PhD studies. The PhD degree has to be obtained before November 15, 2026. You are not eligible to apply for the program if you have been employed in a postdoctoral position for more than one year at the University of Copenhagen prior to the commencement of the fellowship.

Terms of Employment

The employment as Postdoc is a full-time position for 2 years. Starting date is November 15, 2026, or after agreement.

Application Procedure

Your online application must be submitted in English via the ‘Apply for position’ link below. Furthermore, your application must include the following documents/attachments – all in PDF format:

• Cover letter expressing the motivation and previous research experience of the applicant (max 1 page)
• Curriculum vitae (max 2 pages)
• Copy of the PhD degree certificate and the Master’s degree certificate. In case the PhD has not yet been completed, a written statement from the supervisor confirming the PhD degree will be obtained before November 15, 2026, is necessary.
• List of publications (only work that has been published or is “in-press”)
• References (name and contact details of at least two references)

Application Deadline

August 10, 2026, 23.59pm CEST