Postdoc Position in genetic epidemiology, statistical genetics, bioinformatics, precision health or related fields is available at Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Denmark
Deadline to Apply
June 30, 2021 (23: 59 GMT +1)
|No. of Position(s)||1|
|Research Area||– Genetic epidemiology|
– Computational biology
– Machine learning
|Salary||According to standard norms|
|Workplace||Novo Nordisk Foundation Center for Basic Metabolic Research,|
University of Copenhagen, Denmark
|Contract Period||2 Year|
|Starting date||Sept 01, 2021|
- PhD in genetic epidemiology, epidemiology, statistical genetics, bioinformatics, computational biology, machine learning or a related field
- Strong computational background and expertise in dealing with large (genomic) data sets
- Extensive experience with analysing data, interpreting results, and concisely summarizing key messages
- An active interest in obesity, metabolism, nutrition, physical activity, lifestyle and precision health
- Interest in conceiving and designing new projects, in line with the group’s research focus
- Proven track record showing scientific productivity in peer-reviewed journals
- Proficient communication skills and ability to work in multi-disciplinary teams
- Experience in supervising other researchers at different levels
- Excellent English communication skills, both written and spoken
Responsibilities/ Job Description
- Successful candidates will have the opportunity to work on one or more of the following projects:
- In the first project, we aim to gain insight into the deeper layers of biology that underlie body weight regulation and fat distribution. We do this through the discovery of genes and genetic variations that are associated with obesity and other adiposity traits.
- This project requires expertise in genetic association analyses. Knowledge of bioinformatic tools to translate variant-to-function is an asset.
- In the second project, we aim to determine the genetic and non-genetic determinants of body weight through deep-phenotyping of individuals at high vs. low genetic risk for obesity in recall-by-genotype studies.
- This project requires insight into the role of rare genetic variations in obesity. Experience in epidemiology and knowledge of deep physiological phenotyping are assets.
- In the third project, we will build a precision health cohort to identify key predictors of individuals’ metabolic responses to diet and exercise, in an effort to improve precision of lifestyle recommendations for optimal health.
- This project requires experience with wearable, mobile and sensor technologies and expertise in generating and integrating multi-modal data to better understand complex disease.
How to Apply?
Your online application must be submitted in English by clicking ‘Apply Online’ button mentioned above.
Furthermore, your application must include the following documents/attachments – all in PDF format:
- Motivated letter of application (max. one page)
- CV incl. education, work/research experience, language skills and other skills relevant for the position
- A certified/signed copy of a) PhD certificate and b) Master of Science certificate. If the PhD is not completed, a written statement from the supervisor will do.
- List of publications
About Research project
The Loos Group aims to identify the key genetic and non-genetic determinants of body weight regulation to gain insight into the deeper layers of biology that underlie obesity and metabolism. Additionally, we aim to improve prediction, prevention and treatment through implementation of precision health strategies. You can read more about the Loos Group here.
About the Department
The Novo Nordisk Foundation Center for Basic Metabolic Research’s vision is to strengthen interdisciplinary research that transforms our basic understanding of the mechanisms that underlie metabolic health and disease, and to accelerate this knowledge towards new prevention and treatment strategies. We were established in 2010, and in 2017, we moved into new laboratories, offices and meeting rooms in the Maersk Tower www.maersktower.ku.dk.
The Center has around 260 employees who work in an international, highly collaborative research environment across a range of biomedical disciplines. You can read more about us here: www.cbmr.ku.dk.
- International applicants may find these links useful www.ism.ku.dk (International Staff Mobility) and https://www.workindenmark.dk/.
- For questions regarding the recruitment procedure, please contact SUND HR CBMR at SUND-HR-CBMR@sund.ku.dk.
Professor Ruth Loos
Post expires at 8:59am on Thursday July 1st, 2021 (GMT+9)