Project description

We are seeking a postdoctoral fellow with a strong background in bioinformatics, especially with a focus on gene regulatory network inference and analysis of gene expression data. 

Main responsibilities

The postdoc will participate in research projects, supervised by Profs. Erik Sonnhammer, Claudia Kutter and other participants in the projects.

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.

The project 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.

Application deadline

26 October 2020.

Contact

Further information about the position can be obtained from professor Erik Sonnhammer, Stockholms universitet, erik.sonnhammer@scilifelab.se.

University