We are seeking a Computational Scientist to work in Professor Karlsson Hedestam’s group at the Department of Microbiology, Tumor and Cell Biology (MTC) at Karolinska Institutet in Stockholm. The group studies adaptive immunity and immunogenetics. For more information about the research, see http://ki.se/research/karlsson-hedestam

Research area

Adaptive immune responses depend on highly polymorphic gene segments that recombine during lymphocyte development to form highly diverse repertoires of antigen receptors. The Karlsson Hedestam group has developed methodology to study these gene segments in healthy populations and patient cohorts using next generation sequencing (NGS) and computational analyses (see www.IgDiscover.se). These projects generate large amounts of NGS data and the group currently needs to expand its bioinformatics support and increase its ability to develop new algorithms to solve bioinformatic problems for several ongoing research projects. 

Qualifications

Applicants should be proficient in English and have robust computational training with at least two years of programming and research experience in NGS bioinformatics.

Skills and personal qualities

The successful candidate will have a solid background in statistics and computational biology, expertise in statistical and bioinformatics software and an ability to work in a multidisciplinary research environment. The individual should be highly driven and motivated to solve problems, as well as be able to work independently while also being able to communicate effectively with other members of the team.

The candidate should have documented research experience over the past two years.A proven track-record of developing software tools that have been published in high-quality journals is valued. Demonstrable expertise implementing algorithms for sequence alignment, sequence clustering, and distance calculations will be preferred, as will experience with phylogenetic inference and NGS analysis. Extensive experience with Python, R or similar programming languages is required.

The responsibilities/duties include:

Experimental design, in particular for high-throughput sequencing experiments; Data QC, data management and archival storage; Analysis of large datasets, including development of new methods and tools for advanced analysis, support the ongoing research in the group, shape, develop and maintain the computing resources of the group.

Assessment criteria

A selection will be made among qualified applicants using the following bases of assessment:

- Knowledge of Python, R and bash as well as experience with Github or related  resources

- Experience of working in a Linux environment

- Documented experience in applying computational analysis to NGS data

Application process

The application should contain the following documents in English:

  • A personal letter and summary of current work (about one page)
  • A curriculum vitae including a complete publication list
  • A copy of degree certificates and associated certificates

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

Type of employment Visstidsanställning längre än 6 månader
Contract type Full time
Number of positions 1
Working hours 100 %
City Stockholm
County Stockholms län
Country Sweden
Reference number 2-4869/2019
Contact
  • Gunilla Karlsson Hedestam, professor, gunilla.karlsson.hedestam@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 27.Sep.2019
Last application date 17.Oct.2019 11:59 PM CET

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