Kirsten Krause

Scientific Assistant for Bioinformatics

UiT The Arctic University of Norway

The position
The Faculty of Biosciences, Fisheries and Economics, Department of Arctic and Marine Biology (AMB) has a permanent position as bioinformatician/scientific assistant vacant. The permanent nature of the position is on terms, i.e. on the condition that external funding is available, and is secured initially for 3 years from 1.1.2021 to 31.12.2023.

The position is linked to the Research Group «Microorganisms and Plants» and is financed by The Research Council of Norwayan (NFR). The research group consists of five professors, three associate professors and a junior research group leader, plus technical and temporary scientific staff.

Job description
The person hired will work on the NFR project «Interactions between opto- and epigenetic networks in parasitic plants». The project aims at revealing the causal relationships between light-mediated regulation of gene expression and the infection behavior of the genus Cuscuta by way of epigenetic modifications. The project will generate high throughput sequence data for mRNA, sRNA and DNA methylation and the hired bioinformatician will use standard pipelines for their processing and in silico analysis or will develop custom solutions for their analysis together with researchers in the group. Public outreach and research-based teaching is an explicit goal in our group and of the project and the successful candidate should be willing to help with setting up programs and tools for teaching and outreach purposes.

We offer work in a dynamic interdisciplinary research group and experience in a project that connects plant pathogen biology, light perception physiology and epigenetics. The project provides opportunities for groundbreaking discoveries with significance for, among others, agricultural biotechnology.

The successful candidate must:

Have at least a Master degree in Computational Biology, Bioinformatics or Biology;
Prove solid practical experience with the analysis of transcriptome/RNAseq data and of from eukaryotes, including processing of raw reads, annotation, statistical analysis of gene expression data
Have documented experience with eukaryote genome analysis and DNA sequencing data
Have programming experience in Python and/or R
Document familiarity with version control systems, like Git (preferentially)
Documented expertise with plants and experience with plant genomics/transcriptomics and the annotation and mapping tools Mercator/Mapman will be valued particularly highly, but is not a absolute requirement.

In addition, it would be very desirable for the candidate to fulfil one or more of the following criteria:

Have documented experience with sRNA and/or DNA methylation analysis
Experience with bioinformatic analysis of plant sequences
Be able to set up and/or maintain relevant databases
Basic experience with phylogenetic analyses
Show team spirit and interest in mutual exchange of knowledge with other group members

Application procedure and contact
To apply, or for more detailed information, please see here:

The responsible contact is Professor Kirsten Krause; email:

To apply for this job email your details to