Assistant Professor, The Novo Nordisk Foundation Center for Protein Research
Applications are invited for the post of Assistant Professor at The Novo Nordisk Foundation Center for Protein Research (CPR), at the Faculty of Health Sciences, University of Copenhagen. The post is limited to 4 years.
CPR has been established to promote basic and applied discovery research on human proteins of medical relevance. The establishment of the Center announced in April 2007 has been made possible by a generous donation from the Novo Nordisk Foundation and the University of Copenhagen.
The Center comprises a wide range of expertise and skills within its research departments, with activities in the areas of disease systems biology, proteomics, high-throughput protein production and characterisation, chemical biology, disease biology, and protein therapeutics. The Center also contributes to the progress of translational research within medicine and provides fundamental insights, which can be used to promote drug discovery and development.
Job description and qualification requirements
The assistant professorship is a postgraduate position which entails research - including an obligation to publish and communicate scientific findings and provide research-based teaching (and conduct related exams) within the areas of systems biology and disease research.
Furthermore, the post may involve additional teaching tasks outside the outlined area of research. To a limited extent, the post may also involve other functions. The distribution of the individual assistant professor´s different functions may vary periodically according to the Department´s requirements, but will qualify the assistant professor in both research and teaching.
During the term of the employment, supervision will be provided as well as possibilities of educational upgrading with a view to a final written evaluation of the assistant professor´s teaching qualifications.
The position is focused on the application of text mining to various fields within systems biology and disease research, in particular to identify putative drug targets, biomarkers, and correlations among diseases.
Methodologically the work is centered around an effort to extract knowledge on interactions and other links between genes, proteins, drugs, and diseases from the ever increasing body of scientific literature knowledge.
The goal is to create biological and pharmacological interaction networks, which enable the search for novel disease genes and disease causation, for which reason it is important that the applicant has background knowledge on the molecular basis of diseases.
As a means to this end, the group is heavily engaged in the development of new methods and tools for fast processing of very large amounts of text. We therefore seek a person who will be able to maintain and develop our text-mining pipeline, which is written in a combination of Python and C++.
In addition, the applicant will also have to participate in the ongoing effort to convert millions of full-text papers in heterogeneous formats into a library of medical literature that can be used for text mining.
These disciplines require the applicant to have a broad knowledge of molecular biology, disease research and necessary knowledge of pathology as well as a strong background in computer science, systems biology, data integration and statistics.
The applicant must have the following qualifications:
- Experience with text mining and statistics
- Good coding skills in C/C++ and in at least one scripting language (e.g. Perl or Python)
- Experience in bioinformatics/systems biology
- Knowledge of SQL and relational databases
Moreover, it would be an advantage to have some knowledge and experience with:
- Disease etiology
- Machine learning methods
- Parallel programming
- Web development
Candidates for the assistant professorship are required to have scientific qualifications such as a PhD degree or similar qualifications.
Dead line: 10-10-2011