PhD positions in Translational Disease Systems Biology at the Novo Nordisk Foundation Center for Protein Research

We are looking for one or more PhD students to come and join us in the Translational Disease Systems Biology group at The Novo Nordisk Foundation Center for Protein Research (CPR – www.cpr.ku.dk). Expecting starting date 15 September 2022.

CPR comprises a wide range of expertise and resources including proteomics, protein production, general characterization of disease mechanisms, and bioinformatics. The Programme for Disease Systems Biology covers systems level aspects of biology and medicine, including the integration of molecular-level data and healthcare data, for example EHR data including laboratory test data and biomedical texts. You will be joining the Translational Disease Systems Biology group, which is one of three groups in the Programme for Disease Systems Biology at CPR. The group (www.cpr.ku.dk/research/disease-systems-biology/brunak/) led by Professor Søren Brunak focuses on establishing early competitive advantage in disease-relevant computational analysis across the general areas of bioinformatics, systems biology and medical informatics. We are a diverse and highly multidisciplinary group, which is dynamic and ambitious with many renowned scientific collaborations both nationally and internationally.

Your job
The PhD students will work in a multidisciplinary project team and build data-driven models of temporal disease development using a combination of molecular data and data from the healthcare sector, where the latter comprise both registry data, complete electronic patient records and socio-economic data. These models will in part be descriptive and show how different diseases and diagnosis follow each other over long periods of time and in part predictive in the sense that longitudinal patterns of illnesses, medication and procedures will indicate future events.

Qualifications
Since the advertisement covers multiple positions, experience with all of the following is not required, but the successful candidates are preferred to have qualifications or proven experience within the majority of these:

  • You hold a Master’s degree in medicine, health informatics, bioinformatics, data science or a related discipline of biomedical research
  • Programming experience in Python/Perl and/or R
  • Having worked with big data
  • An active interest in disease biology and precision medicine
  • Experience in bioinformatics, biostatistics and systems biology
  • Research experience in machine learning
  • Excellent communication skills, and fluency in written and spoken English

With the group being highly multidisciplinary and collaborating with many other research groups nationally and internationally, strong networking and team player skills are preferred.

Place of employment and work
The employment is at CPR (www.cpr.ku.dk), University of Copenhagen, located in central Copenhagen. The research environment at CPR is ambitious, diverse 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. 

For more information on working and living in Denmark visit www.ism.ku.dk (International staff mobility) and www.workingconditions.ku.dk.

Terms of salary and employment
Starting date is 15 September 2022 or after agreement. The position is full time (37 working hours per week) and for 3 years.

The employment 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 to the Graduate School of Health and Medical Sciences.

The PhD study 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 will be in accordance with the agreement between the Danish Ministry of Finance and AC (the Danish Confederation of Professional Associations). Depending on seniority, the monthly salary starts at approximately 28,300 DKK/roughly 3,800 EUR (April 2022 level) plus pension.

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/onarrival/pension/.

The position is covered by the 'Memorandum on Job Structure for Academic Staff at the Universities of December 11, 2019'.

Application procedure
Your application, in English, must be submitted electronically by clicking “Apply now” below and must include the following documents in PDF format:

  • 1. Motivated letter of application
  • 2. CV incl. education, experience, language skills and other skills relevant for the position
  • 3.Certified copy of original Master of Science diploma and transcript of records in the original language, including an authorized English translation if issued in other language than English or Danish. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor is accepted.
    As a prerequisite for a PhD fellowship employment, your master’s degree must be equivalent to a Danish master’s degree. We encourage you to read more in the assessment database: https://ufm.dk/en/education/recognition-and-transparency/find-assessments/assessment-database. Please note that we might ask you to obtain an assessment of your education performed by the Ministry of Higher Education and Science.
  • 4. List of publications

Deadline for application: 7 July 2022, 23.59 pm 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.

After the expiry of the deadline for applications, the authorised 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.

The applicant will be assessed according to the Ministerial Order no. 242 of 13 March 2012 on the Appointment of Academic Staff at Universities.

You can read about the recruitment process at https://employment.ku.dk/faculty/recruitment-process/.

For further information about the position or the process, please contact CPR: jobs@cpr.ku.dk

The University of Copenhagen wish to reflect the diversity of society and encourage all qualified candidates to apply regardless of personal background.

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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.

Contact

Søren Brunak

Info

Application deadline: 07-07-2022
Employment start: 15-09-2022
Working hours: Full time
Department/Location: Novo Nordisk Foundation Center for Protein Research
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