Research Fellow in Epidemiology and Data Science

2 days ago


Copenhagen, Copenhagen, Denmark Københavns Universitet Full time
Research Fellow in Epidemiology and Data Science

We are seeking a research fellow to join our team at the Novo Nordisk Foundation Center for Basic Metabolic Research. As a research fellow, you will play a critical role in conducting research on type 2 diabetes subtypes using comprehensive phenotype data.

You will work closely with our team of experts to develop and implement advanced analytical methods to analyze large datasets and identify distinct subtypes of type 2 diabetes. By leveraging comprehensive phenotype data, including wearables, molecular markers, and behavioral factors, you will help us understand how these subtypes respond differently to preventive interventions and their varying risk of developing complications.

Key Responsibilities:

  • Conduct research on type 2 diabetes subtypes using comprehensive phenotype data
  • Develop and implement advanced analytical methods to analyze large datasets
  • Work closely with our team of experts to identify distinct subtypes of type 2 diabetes

Requirements:

  • PhD in Epidemiology, Data Science, or Bioinformatics
  • Expertise in handling and analyzing data from wearable devices
  • Strong computational background and experience with large datasets
  • High level of proficiency in programming languages such as R or Python

Working Environment:

The Novo Nordisk Foundation Center for Basic Metabolic Research is an academic research center that pioneers groundbreaking research towards better cardiometabolic health. We offer a dynamic and international research environment with opportunities for collaboration and professional growth.

We are committed to fostering a diverse and inclusive workplace that values innovation, creativity, and teamwork. If you are passionate about advancing our understanding of type 2 diabetes and are eager to contribute to cutting-edge research, we encourage you to apply for this exciting opportunity.



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