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Computational Biologist: Immunology Karolinska Institutet, Department of Microbiology, Tumor and Cell Biology


We are seeking a Computational Biologist at post-doctoral level (or with at least 4 years of post- graduate experience) to work with the team of Assistant Prof. Jonathan Coquet at the Department of Microbiology, Tumor and Cell Biology (MTC) at the Karolinska Institute, Stockholm, Sweden.

Jonathan’s team is interested in lineage commitment and in particular in subset specification of a population of immune cells called T helper cells. T helper cells are central mediators of a range of inflammatory disorders including asthma, multiple sclerosis and inflammatory bowel disease and are known to acquire specialized functions. The team is interested in 2 aspects of their differentiation; 1) What functions do these cells acquire in different inflammatory diseases and can these functions be extrapolated using unbiased techniques? 2) Identifying novel factors and gene networks that may regulate the acquisition of functions over time, and to test their functions in physiological models of disease. To tackle these questions, Jonathan’s team is using Single Cell RNA-Sequencing among other array and sequencing based approaches to analyse T helper cells in diseased tissues. The lab’s goal is to more accurately define T helper cell functions in disease states and find novel regulators that may be the target of future therapies.


The successful applicant will work with a team of biologists to apply existing, or to develop novel, statistical and computational bioinformatics methods for analysis of various -omics data, with particular focus on NGS technologies, including RNA-Seq, and single-cell RNA-Seq. An interest in the application of machine learning approaches is also desirable.

The duties also includes:

  • Consulting researchers on the NGS experimental design

  • Data QC, data management and archival storage

  • Analysis of large datasets, preparation of codes, development of new methods/tools for advanced analysis of datasets

  • Support the ongoing research in the group, help write papers, grants and scientific meeting presentations

  • Shape, develop and maintain the current computing resources of the group


The successful candidate has a solid background in bioinformatics, statistics and computational biology, good expertise in statistical and bioinformatics software, and an ability to work in a multidisciplinary research environment. The individual should be highly motivated and be able to work independently, while being able to communicate effectively with other members of the team. Preferably, the candidate should hold a PhD degree (or complete one within the next 2 months) or have a track record of performing independent research over the past 4 years. A proven publication record in well-regarded journals is also advantageous. Experience with R, Matlab, Python, Perl or other mathematical software/programming languages is required.

Application Process:

Please apply by February 15, 2016 on the Karolinska Institute’s online system at:

Any inquiries can be sent to