Job description
We are looking for a talented postdoc in molecular epidemiology or biomedical sciences with the ability to work across different research fields. You will be working in a multidisciplinary team on the project ‘Personalized risk profiles for cardiovascular disease: lessons to learn from the healthy obese’ which is part of the Maastricht UMC+ 2020 strategic research portfolio.
The obesity epidemic is a rapidly growing threat to the health of populations, but there is substantial heterogeneity in cardiometabolic risk among the obese. Current clinical practice uses the metabolic syndrome to establish cardiovascular disease (CVD) risk. This is an insensitive tool, and data suggest that a substantial proportion of individuals without metabolic syndrome are yet at high risk of CVD, and vice versa. In this project we will generate metabolomics multimarker profiles that improve clinical decision making by identifying obese individuals at high risk of CVD, and identify novel targets for prevention, early diagnosis, and treatment of obese individuals at high risk of CVD, independent of their metabolic syndrome status. We will use data from several large human studies, including The Maastricht Study (http://www.demaastrichtstudie.nl/research) and Diogenes (http://www.diogenes-eu.org/).
The project ‘Personalized risk profiles for cardiovascular disease: lessons to learn from the healthy obese’ is part of the MUMC+ 2020 strategic research portfolio, where innovation and multidisciplinary collaboration are key. We will combine cardiovascular and metabolic expertise within the Maastricht University Medical Centre (MUMC+) and the Metabolic Research Unit Maastricht (MRUM), and complement this with available expertise on complex data analysis, integrative bioinformatics, and molecular epidemiology at the Maastricht Centre for Systems Biology (MaCSBio; http://macsbio.maastrichtuniversity.nl/).
The postdoc will generate metabolomics multimarker profiles that improve clinical decision making by identifying obese individuals at high risk of CVD, independent of their metabolic syndrome status, and to identify novel targets for prevention, early diagnosis, and treatment of these individuals by using extensive phenotypic and multi-omics data. You will use multivariate methods such as principal component analysis (PCA) and random forest for selection and classification and regression-based methods to construct prediction models. A sound biological basis is essential to interprete findings from these studies. The ideal candidate will have a PhD in biology or biomedical sciences with proven interest in epidemiology or statistics, or an epidemiologist with a strong basis in biology, and the ability to work across different disciplines.
Requirements
We are looking for a candidate with a PhD in biology or biomedical sciences with proven interest in epidemiology or statistics, or an epidemiologist with a strong basis in biology, and the ability to work across different disciplines. Experience with the analysis of large datasets is essential, experience with metabolomics would be ideal. A track-record in the field of obesity, metabolic syndrome, diabetes or cardiovascular disease is a strong plus. We are looking for a highly creative, motivated, and ambitious researcher with good communication skills, the potential to attract research funding, and the ability to participate successfully in a multidisciplinary research team.
For more information and applications: https://www.academictransfer.com/employer/UM/vacancy/27268/lang/en/
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