Postdoctoral stipend in Genomics / Computational Biology

We have currently one postdoctoral positions (stipend) open for autumn 2017. Please find detailed information and link to the application  system (MyNetwork) following the link below. Application deadline is October 2nd.

Postdoctoral stipend in Genomics / Computational Biology

The available postdoctoral position concerns developing and applying novel genomic and computational approaches to study ribosome dynamics and RNA metabolism, and its impact to cell-to-cell phenotypic heterogeneity. The candidate will focus on the computational analysis of newly developed methods to study ribosome dynamics, mRNA degradation and tRNA processing (e.g. Pelechano et al. Cell 2015). The candidate is expected to contribute his/her own ideas to the common goal of understanding how RNA biology and post-transcriptional regulation contributes to the appearance of differences across clonal populations of cells.

The candidate will perform original research in genomics and computational biology, and acquire the required experimental and computational skills necessary for the completion of the project. As a model organism the candidate will use budding yeast (S. cerevisiae) and human cancer cell lines. The candidate will be responsible for implementing analytical pipelines and integrate different kinds of genomic data to answer biologically relevant questions.

The successful candidate will take a strong lead in the experimental design, and collaborate with other team members. The candidate is expected to communicate the scientific results by writing up scientific papers and attending scientific meetings. The ideal candidate is also expected to participate in the general duties of the team and to effectively communicate with scientists of very diverse backgrounds in a highly interdisciplinary and international environment.

The candidate will work in a team funded by an ERC evaluated Swedish funded grant ( and a Wallenberg Academy Fellowship 2016 to Vicent Pelechano (

Entry requirements

Applicants to this position should have a PhD in genomics, computational biology or bioinformatics.

Scholarships for carrying out postdoctoral research may be granted to persons living in other countries who come to Sweden with the intention of only staying in Sweden for all or part of their postdoctoral education at KI. Persons who are resident in Sweden and/or have carried out all or part of their academic education at KI or some other educational institution in Sweden cannot be considered for scholarships from KI. The head of the department determines whether their previous training and scholarly qualifications correspond to a Swedish PhD or higher.

The successful applicant should have experience interpreting biological data and experimentally testing their hypothesis, NGS analysis and proficiency in a scripting language (e.g. Python, R, Perl) and in UNIX/Linux. A strong interest in interdisciplinary technology development, and novel and creative thinking abilities are essential. Preferred experience also includes familiarity with eukaryotic translation, RNA biology, ribosome profiling analysis, CLIP or CRAC methods, RNA-Seq, and molecular biology techniques. This is an excellent opportunity for an individual with experience in computational biology and genomics to expand his/her ability to design and interpret novel experimental approaches. Applicants wishing to integrate computational and experimental biology approaches are also encouraged to apply.

Candidates interested in applying are encouraged to contact for further information.


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