Data Science Postdoctoral Researcher

5 days ago


Copenhagen, Copenhagen, Denmark Københavns Universitet (KU) Full time

Københavns Universitet (KU) is an academic research institution that pioneers groundbreaking research towards better cardiometabolic health.

The Novo Nordisk Foundation Center for Basic Metabolic Research at the University of Copenhagen is looking to hire a highly motivated and dynamic postdoc with a PhD in data science, epidemiology, bioinformatics, and/or genomic medicine.

The ideal candidate will work on innovative research projects to identify distinct subtypes of type 2 diabetes. Leveraging two recently awarded large-scale EU grants, the candidate will conduct in-depth subtyping based on comprehensive phenotype data, including wearables, molecular markers, and behavioral factors.

By analyzing extensive datasets, the candidate will characterize how these subtypes respond differently to preventive interventions and their varying risk of developing complications.

This critical role will drive advancements in precision diabetes medicine by uncovering novel insights into the complex nature of the disease.

The successful candidate will be at the forefront of data-driven discovery, delving into vast wearable and metabolic phenotype data repositories.

Key qualifications include a strong background in data science, epidemiology, bioinformatics, machine learning, and/or genomic medicine, as well as expertise in handling and analysing data from wearable devices.

A proven track record showing scientific productivity in peer-reviewed journals is also essential.

The position offers a unique opportunity to contribute to groundbreaking research with the potential to improve diabetes prevention and management.



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