Do you want to contribute to top quality research?

This is a unique collaborative project between the groups of Claudia Kutter (Karolinska Institute, KI) and Erik Sonnhammer (Stockholm University, SU) both located at SciLifeLab in Stockholm, Sweden. SciLifeLab is Sweden’s national center for large-scale (big data) life science research and one of the largest sequencing cluster in Europe. The applicant benefits from knowledge and expertise in both labs as well as professional training at SciLifeLab. The Kutter lab has a research focus on functional genomics, transcriptomics (including RNA binding proteins (RBPs) and their bound RNAs). The Sonnhammer group has extensive experience in inferring gene regulatory networks (GRNs) and has developed several new algorithms to improve the reliability of the GRNs inferred from perturbations.

Your mission

The goal of the project is to use gene regulatory network inference to discover new regulatory mechanisms that control the repertoire of RBPs. To this end, software will be adapted and developed in order to infer reliable GRNs and to analyse results. Both in-house and public shRNA-RNAseq data from ENCODE will be used. Inferred GRNs will be analysed for regulatory links in relation to known functions and RNA binding and are subjected to experimental validation of the scientifically most valuable links.

The project involves programming, data analysis, benchmarking, and modelling, as well as application of the developed methods to experimental data.

Your profile

The successful candidate should be highly motivated and have a Ph.D. in bioinformatics or related field, and good knowledge of molecular biology. Applicants who have not completed a doctorate at the end of the application period may also apply, providing that all requirements for a completed degree are met before the agreed date of employment. This must be substantiated by the applicant's main supervisor, director or equivalent. Alternatively, applicants with a Ph.D. in molecular biology or related fields who have 2 years of postdoctoral experience in bioinformatics and programming, documented by scientific publications are also encouraged to apply. Demonstrable familiarity with sequence and gene expression data analysis techniques is essential. Excellent skills in computer programming (primarily Matlab, Python, R) and UNIX are necessary merits.

What do we offer?

A creative and inspiring environment full of expertise and curiosity. The Karolinska Institute (KI) is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better health for all. KI is a state university, which entitles to exceptional benefits (e.g. extended holiday, health care and occupational pension). Employees have access to our modern gym for free.

Location:

SciLifeLab, Karolinska Campus, Solna, Sweden

https://ki.se/en/mtc/claudia-kutter-group

https://sonnhammer.org

Application

An employment application must contain the following documents in English:

  1. Curriculum vitae and qualifications (including date of the thesis defense, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work)
  2. List of publications
  3. Letter of motivation and summary of current work (no more than one page)
  4. Contact information of two referees

We welcome you to apply at the latest: 2020-Jan-31

The application is to be submitted through the Varbi recruitment system.

Want to make a difference? Join us and contribute to better health for all

Type of employment Temporary position
Contract type Full time
First day of employment According to agreement
Number of positions 1
Full-time equivalent 100%
City Solna
County Stockholms län
Country Sweden
Reference number 2-6505/2019
Contact
  • Claudia Kutter, Assistant professor , claudia.kutter@ki.se
Union representative
  • Biborka Bereczky Veress, SACO, 46 70-173 85 75
  • Niklas Andersson, OFR, niklas.andersson@ki.se
  • Henry Wölling, SEKO, 08-524 840 80
Published 18.Dec.2019
Last application date 31.Jan.2020 11:59 PM CET

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