PhD fellowship in computational disease systems biology, Novo Nordisk Foundation Center for Protein Research
A PhD fellowship is available in the Translational Disease Systems Biology group at The Novo Nordisk Foundation Center for Protein Research (CPR – www.cpr.ku.dk).
The Center has been established at the Faculty of Health and Medical Sciences, University of Copenhagen, to promote basic and applied discovery research on human proteins of medical relevance.
The Center comprises a wide range of expertise and resources including proteomics, protein production, bioinformatics and general characterization of disease mechanisms. The Programme for Disease Systems Biology (DSB) consists of three research groups covering many systems level aspects of biology and medicine, including the integration of molecular-level data and healthcare data, for example laboratory test data and biomedical texts.
The Translational Disease Systems Biology group (www.cpr.ku.dk/research/disease-systems-biology/brunak/) is part of DSB and led by Søren Brunak focus on establishing early competitive advantage in disease-relevant computational analysis across the general areas of bioinformatics, chemoinformatics, systems biology and medical informatics.
Responsibilities and tasks
The PhD fellow will work in an international multidisciplinary project team with both medical researchers, geneticists, bioinformaticians, and others. The candidate will be working on a project on precision diagnostics and risk predictions in disease including identification over over-treated patients.
The candidate will amongst other things investigate how fine-grained phenotypes can be extracted from big biomedical data, including the full spectrum of patient-specific symptoms and clinically relevant variables as they are described in longitudinal, structured, and unstructured electronic health record data, and how composite data aggregated from different time scales can be used to improve treatment decisions, diagnostics, and prognostics for patients suffering from ischemic heart disease.
Furthermore, the candidate will be performing analysis of data using big biomedical data analysis approaches such as data integration, neural networks and natural language processing to develop clinical decision support tools.
The ideal candidate has a master or equivalent in bioinformatics, molecular biomedicine, human biology, biology or a related discipline of biomedical research. Programming experience with R and/or Python is required as well as having worked with big data. Research experience with bioinformatics, biostatistics, and machine learning is a plus.
Furthermore, the right candidate will likely have experience within and knowledge of some of the following areas:
- Bioinformatics and systems biology.
- Medicine, pharmacology or genomics.
- Experience with databases and database architectures.
- Knowledge of biomedical resources and infrastructures.
- Interdisciplinary translational research projects.
- Healthcare terminologies and ontologies.
Place of employment
The employment is at CPR (www.cpr.ku.dk), University of Copenhagen, located in central Copenhagen. The research environment at CPR is ambitious and international, with approx. 30 different nationalities currently represented.
The Center comprises modern laboratories, supercomputer resources and state-of-the-art facilities within protein science. Seminars with high-profile international speakers and regular internal research seminars are organized at the Center. The selected candidate should expect some travel activity.
Foreign applicants may find the following links useful on working and living in Denmark: https://www.workindenmark.dk/ and www.ism.ku.dk (International Staff Mobility).
Terms of employment
The employment as PhD fellow is full time (37 hours per week) and for 3 years.
It is conditioned upon the applicant’s successful enrolment as a PhD student at the Graduate School at the Faculty of Health and Medical Sciences, University of Copenhagen. This requires submission and acceptance of an application for the specific project formulated by the applicant.
The PhD fellowship must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving the degree. Salary, pension and terms of employment are in accordance with the agreement between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Depending on seniority, the monthly salary begins at DKK 27,362 / approx. EUR 3.648 (October 2019-level) plus an employer paid pension contribution.
The Danish Ministry of Finance and the Danish Confederation of Professional Associations (AC) have agreed on a protocol that makes it possible for all international researchers employed by the University to achieve a pension exemption, where the pension will be paid as salary. For more information about the different pension schemes: https://ism.ku.dk/salary-tax-pension/pension/.
For further information, please contact Christina Vester by e-mail: Christina.email@example.com.
Your application must be submitted electronically by clicking ‘Apply now’ below. The application must include the following documents in PDF format:
- Motivated letter of application (max. one page).
- CV incl. education, experience, language skills and other skills relevant for the position.
- Master of Science diploma and transcript of records. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor will do.
- Publication list (if possible).
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.
Application deadline: 15 December 2019, 23:59 p.m. CET.
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.
The assessor makes a non-prioritized assessment of the academic qualifications and experience with respect to the above-mentioned area of research, techniques, skills and other requirements listed in the advertisement.
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 http://employment.ku.dk/faculty/recruitment-process/.
The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.
The Faculty of Health and Medical Sciences comprises approximately 7800 students, 1550 PhD students and 4400 employees. The Faculty advances the field of health sciences through its core activities: research, teaching, knowledge sharing and communication. With basic research fields ranging from molecular studies to studies of society, the Faculty contributes to a healthy future through its graduates, research findings and inventions benefitting patients and the community.
The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position.
Københavns Universitet giver sine knap 10.000 medarbejdere muligheder for at udnytte deres talent fuldt ud i et ambitiøst, uformelt miljø. Vi sikrer traditionsrige og moderne rammer om uddannelser og fri forskning på højt internationalt niveau. Vi søger svar og løsninger på fælles problemer og gør ny viden tilgængelig og nyttig for andre.