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
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
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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 ( ) 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 ( ), 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 (International staff mobility) and . Terms of salary and employment The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a period of 3 years. The start date is after agreement. 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 formulated by the applicant. 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 are in accordance with the agreement between the Ministry of Taxation and The Danish Confederation of Professional Associations on Academics in the State. Application procedure Your application should be submitted electronically to: Your application should include the following documents: Motivated letter of application (max. one page) CV incl. education, experience, language skills and other skills relevant for the position 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: . Please note that we might ask you to obtain an assessment of your education performed by the Ministry of Higher Education and Science Publication list (if possible) Deadline for application: 6 June 2023 at 23:59 CET After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee. All applicants are then immediately notified whether their application has been passed for assessment by an expert assessment committee. Selected applicants are notified of the composition of the committee and 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 For further information about the position or the process, please contact CPR: CPR and the University of Copenhagen wish to reflect the diversity of society and welcome applications from all qualified candidates regardless of 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. Info Application deadline: 06-06-2023 Employment start: Start as soon as possible Working hours: Full time Department/Location: Novo Nordisk Foundation Center for Protein Research Search all vacancies Søg SEARCH Nørregade 10, PO Box 2177 DK-1017 Copenhagen K Contact: University of Copenhagen University of Copenhagen Contact Services For students and employees Job and career Emergencies Web Connect with UCPH
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