Ref. No. SU FV-0106-21
Apply
at the Department of biochemistry and biophysics. Closing date: 7 March 2021.
Placement at the Science of Life Laboratory in Stockholm. Science for Life Laboratory (SciLifeLab) is a national center for large-scale life science research with an advanced technological infrastructure. SciLifeLab performs multidisciplinary research based on DNA sequencing, gene expression analysis, proteomics, bioinformatics, biostatistics and systems biology. The aim is to enable Swedish researchers to analyze genes, transcripts and proteins in different organisms in order to clarify molecular mechanisms related to health and the environment.
Project description
The project aims to generate reliable gene regulatory networks from gene expression data generated by shRNA perturbations, either within the ENCODE project or internally within the Kutter group. The methods for network inference have been developed by the Sonnhammer group. The produced network will be analyzed for links linked to known RBP functions and lncRNA binding, the most important of which will be validated experimentally.
Main responsibilities
The postdoc will participate in research projects, supervised by Profs. Erik Sonnhammer, Claudia Kutter and other participants in the projects. Main responsibilities involves programming, data analysis, benchmarking, and modelling, as well as application of the developed methods to experimental data generated by the project.
Qualification requirements
Postdoctoral positions are appointed primarily for purposes of research. Applicants are expected to hold a Swedish doctoral degree or an equivalent degree from another country.
Assessment criteria
The degree should have been completed no more than three years before the deadline for applications. An older degree may be acceptable under special circumstances, which may involve sick leave, parental leave, clinical attachment, elected positions in trade unions, or similar.
The successful candidate should be highly motivated and have a Ph.D. in bioinformatics or related field, and knowledge of molecular biology. Alternatively, an Ph.D. in molecular biology or related field and 2 years of postdoctoral experience in bioinformatics research and programming, documented by scientific publications.
Demonstrable familiarity with sequence and molecular data analysis techniques is essential. Excellent skills in computer programming (primarily Matlab, Python, R), UNIX, and knowledge of biological database systems are necessary merits. Criteria we hope the candidate has are experience in programming, gene expression analysis, statistical data analysis and knowledge of molecular biology.
The work is done in teams, so it is important that you can collaborate well and are able to take initiatives. The work is done in an international environment, therefore great importance is attached to communicative ability.
Terms of employment
The position involves full-time employment for a maximum of two years, with the possibility of extension under special circumstances. Start date as per agreement.
Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.
Contact
Further information about the position can be obtained from professor Erik Sonnhammer, Stockholm University, erik.sonnhammer@scilifelab.se.
Union representatives
Ingrid Lander (Saco-S), telephone: +46 708 16 26 64, saco@saco.su.se, Alejandra Pizarro Carrasco (Fackförbundet ST/Lärarförbundet), telephone: +46 8 16 34 89, alejandra@st.su.se, and seko@seko.su.se (SEKO).
Application
Apply for the position at Stockholm University's recruitment system. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline.
Please include the following information with your application
and, in addition, please include the following documents
The instructions for applicants are available at: How to apply for a position.
You are welcome to apply!
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Closing date: 07/03/2021