Postdoc in Bioinformatics
Novo Nordisk Foundation Center for Basic Metabolic Research
University of Copenhagen
The University of Copenhagen seeks a highly motivated and talented postdoctoral fellow to commence October 1, 2020 at the Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen.
The postdoctoral fellowship is part of the Novo Nordisk Foundation Center for Basic Metabolic Research International Postdoctoral Program www.cbmr.ku.dk/postdocprogram.
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 toward 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 200 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.
The position available is in the Translational Cell Metabolism Group headed by Associate Professor Camilla Schéele. The research group studies human adipose tissue. A major focus is how secreted factors affect metabolism by mediating crosstalk at a cellular or tissue-level. The group has a strong international network and several active collaborations in the field. We are also highly collaborative and supportive within the group, and strive for diversity in gender, age and nationalities. You can read more about the research of the Schéele group at www.cbmr.ku.dk/research/integrative-metabolism-and-environmental-influences/scheele-group.
The central nervous system plays a major role in regulating food intake based on feedback systems from peripheral organs, including adipose tissue. Brown adipose tissue (BAT) is a subtype of adipose tissue with specialized energetic properties. BAT produces heat in response to cold by switching from an idle state to a highly energy-consuming state. Our overarching hypothesis is that BAT secretes bioactive peptides, which communicate its metabolic status to the brain and thereby regulate appetite. With the current project, we will screen for novel bioactive brown fat derived peptides or proteins with a potential neuroregulatory effect, which will be assessed experimentally at a later stage in the project. Your tasks would be to analyze large-scale transcriptomics studies of adrenergically activated brown fat cells, human plasma peptidomics with samples obtained before, during and after cooling and, finally, single nuclei transcriptomics data of human brown fat tissue obtained from obese and normal-weight subjects. You will work in close synergy with the biologists and technical staff in the group to generate datasets, interpret the data, and bring candidate so-called “batokines” further into functional studies of the effect on neuronal circuits. This project is a part of an overall strategy of exploring the role of brown fat in metabolic regulation in adult humans, with the goal of identifying novel drug targets against obesity and its associated diseases.
The fellowship is aimed at early career researchers with a basic science background or clinicians who aspire to a career in academic medicine. We are particularly interested in candidates who are familiar with integrative research approaches within the broad area of basic metabolic research with an application towards human pathophysiology.
We are looking for a highly motivated and enthusiastic scientist with the following competencies and qualifications:
The ideal candidate combines:
- A PhD degree in Bioinformatics/Systems biology, Biology, Biochemistry, Molecular Biology, Molecular Biomedicine, biomedical or natural sciences
- Excellent scientific track record in relation to career stage
- Expertise in scripting in R or Python
- Advanced skills in establishing of omics analysis pipelines and interpretation of the results.
- Solid statistical knowledge and advanced level of using R Bioconductor packages and developing Shiny applications.
- Capability in integrative network and systems biology analysis
- Familiarity with basic Machine learning techniques (preferable)
- An interest in interacting with experimental biologists and explaining basic bioinformatic approaches
- Excellent English communication skills, both written and oral
The CBMR International Postdoctoral Program is open for applicants that hold a PhD degree awarded from a university outside of Denmark. The program is also open for applicants with a Danish PhD degree who can document at least 12 months full-time research experience from outside Denmark. You are not eligible to apply for the program if you have been employed in a postdoctoral position for more than one year at the University of Copenhagen prior to the commencement of the fellowship.
Terms of Employment
The employment as postdoc is a full-time position for 3 years. Starting date is October 1, 2020.
Salary, pension and terms of employment will be in accordance with the agreement between the Danish Ministry of Finance and AC (Danish Confederation of Professional Associations). Depending on qualifications, a supplement may be negotiated.
Non-Danish and Danish applicants may be eligible for tax reductions, if they hold a PhD degree and have not lived in Denmark the last 10 years.
For further information about the position, please contact Associate Professor Camilla Schéele at email@example.com. Questions regarding the CBMR International Postdoctoral Program must be directed to firstname.lastname@example.org. For questions regarding the recruitment procedure, please contact HR at email@example.com.
The University of Copenhagen International Staff Mobility office offers support and assistance to all international researchers on all issues related to moving to and settling in Denmark. Read more at www.ism.ku.dk.
- Your online application must be submitted in English via the ‘Apply now’ link below. Furthermore, your application must include the following documents/attachments – all in PDF format:
- Cover letter expressing the motivation and previous research experience of the applicant (max 1 page)
- Curriculum vitae
- Copy of the PhD degree certificate and the Master degree certificate. In case the PhD has not yet been completed, a written statement from the supervisor is acceptable.
- List of publications
- References (name and contact details of at least two references)
Application Deadline: March 22, 2020, 23.59pm CET
We reserve the right not to consider material received after the deadline, and not to consider applications that do not live up to the abovementioned requirements.
The Further Process
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the hiring committee. All applicants are then immediately notified whether their application has been passed for assessment by an unbiased assessor. Once the assessment work has been completed, each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.
You can read about the recruitment process at www.employment.ku.dk/faculty/recruitment-process.
The applicant will be assessed according to the Ministerial Order no. 242 of March 13, 2012 on the Appointment of Academic Staff at Universities.
The University of Copenhagen wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of their personal background.
Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation – with good working conditions and a collaborative work culture – creates the ideal framework for a successful academic career.