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Postdoctoral position in RNA Genomics & Computational Biology

Karolinska Institutet is one of the world´s leading medical universities. Its mission is to contribute to the improvement of human health through research and education. We are affiliated to the Department of Microbiology, Tumor and Cell Biology that conducts research and teaching in immunology, infection biology, cell biology and cancer. Our lab is located in the newly established Science for Life Laboratory. Our group combines experimental and computational approaches to develop and apply novel genome-wide techniques to investigate eukaryotic transcription and gene expression. We are especially interested in understanding the regulatory mechanisms leading to the appearance of divergent gene expression programs in clonal cell population (

Job description
The position concerns developing and applying novel genomic and computational approaches to study non-genetic heterogeneity in clonal population of cells. The candidate will focus on assigning molecular and cellular phenotypes to subtle variations of the transcriptome, with a special focus on RNA biology and post-transcriptional regulation.

The candidate will implement analytical pipelines and integrate different kinds of genomic data. The candidate will take a strong lead in the experimental design, and collaborate with other team members. The ideal candidate is expected to participate in the general duties of the team and work in a highly interdisciplinary and international environment.

Applicants to this position should have a PhD in genomics, computational biology or bioinformatics. 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 transcription, RNA biology, ChIP-Seq, and molecular biology techniques. Applicants wishing to integrate computational and experimental biology approaches are also encouraged to apply.

To apply
The application is to be submitted through the MyNetwork recruitment system.

Last application date: 2nd December 2016.

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