Researcher in genetic epidemiology, statistical genetics, computational biology, machine learning or a related field
Københavns Universitet
Novo Nordisk Foundation Center for Basic Metabolic Research
University of CopenhagenWe are looking to hire a highly motivated and dynamic Researcher with extensive expertise in genetic epidemiology, biostatistics, statistical genetics and/or machine learning to work on projects related to precision cardiovascular medicine in the Loos and Merino Groups. The position is a 3-year position starting March 1, 2025, or after agreement.Background
The Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR) is an academic research Center that pioneers groundbreaking research towards better cardiometabolic health. Through collaborative interdisciplinary research from single-cell genomics to whole-body systems, CBMR aims to transform the basic understanding of cardiometabolic health and accelerate its translation into prevention and treatment strategies. The Center’s uniquely multi- and interdisciplinary approach combines research in genetics, physiology and pharmacology, to better understand the complex interplay of the many factors that drive cardiometabolic disease. You can learn more in the .CBMR was established in 2010 at the and has been located in the Maersk Tower at PANUM since 2017. The around 260 employees create an international, highly collaborative research environment across disciplines.Our group and research
The Loos Group aims to identify the genetic and non-genetic determinants of body weight regulation to gain insight into the deeper layers of biology that underlie obesity and metabolism. Additionally, the group aims to improve prediction, prevention, and treatment through the implementation of precision health strategies. You can read more about the Loos Group .The Merino Group investigates how molecular and environmental factors modulate variable metabolic responses to therapeutic interventions and shape food choice behavior. The group aims to generate actionable knowledge to inform more effective obesity and diabetes prevention and treatment strategies. You can read more about the Merino Group .Project description
The project aims to leverage dynamic and high dimensional data to identify genetic, molecular, environmental, clinical, and phenotypic signatures that underlie the heterogeneity of treatment responses in obesity and type 2 diabetes. By stratifying the population into more homogeneous subtypes, we seek to advance our understanding of the etiology of these subtypes and their implications for prevention, prediction, and treatment. Working on this interdisciplinary project will require experience in epidemiology (general, molecular, and genetic), statistics and machine learning.Your job
Your responsibilities will include leveraging advanced computational and statistical methods, including machine learning, harmonizing, curating, and analyzing multi-omics datasets alongside rich clinical information. In addition, you will contribute to the development and validation of predictive models for stratification in type 2 diabetes and obesity and variable response to current clinical interventions. It is expected that you will present research findings at scientific conferences and contribute to the publication of peer-reviewed articles.Profile
We are looking for a highly motivated and enthusiastic scientist with the following competencies and qualifications:
Place of employment
The place of employment is at Novo Nordisk Foundation Center for Basic Metabolic Research, Maersk Tower, Panum Institute, University of Copenhagen. We offer creative and stimulating working conditions in a dynamic and international research environment.
København
Thu, 05 Dec 2024 06:20:21 GMT
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