Research Assistant in Immunology

Karolinska Institute

Research Assistant in Immunology


Do you want to contribute to top quality medical research?

The Department of Microbiology, Tumor and Cell Biology (MTC) at Karolinska Institutet conducts research and teaching within immunology, infection biology, cell biology and cancer. MTC has about 40 research groups and our key words are multidisciplinary, bridging, national and international collaborations.

MTC is looking for a Research Assistant to join Professor Gunilla Karlsson Hedestam's group to contribute to the group's project concerning the analysis of immune repertoires and variation in adaptive immune receptor genes through Next Generation Sequencing (NGS). The group's goal is to increase our understanding of how genetic backgrounds influence the diversity and function of adaptive immune responses. We are looking for a motivated, independent, and well-organized person with excellent communication skills in spoken and written English. The appointment is for a purely computational scientist. It will not involve any wet lab work.

Your mission

Modern immunology research generates large datasets from high-throughput sequencing techniques. The Karlsson Hedestam group analyzes highly diverse adaptive immune receptor repertoires and studies the role of germline-encoded polymorphism for antigen-specific responses. Having developed the computational tool IgDiscover to process such datasets, the group is now seeking to expand its analytic support. Specifically, the group is looking for an experienced computational scientist to contribute to data analysis, statistics, and visualization for several ongoing research projects.

Your profile

The successful candidate will have at least 5 years’ experience working with data analysis and bioinformatic analysis. The candidate should be proficient in English and in relevant programming languages, have data science skills (data cleaning, scripting, visualization, etc) 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. A selection will be made among qualified applicants using the following bases of assessment:

  • Strong mathematical and computer science background
  • Deep knowledge of probability theory, statistics, and statistical modeling
  • Ability to apply statistical expertise to problem solving on experimental data
  • Software engineering experience, including knowledge of Python, R, and bash as well as experience with Github or related resources
  • Experience of working in a Linux environment and HPC computing
  • Documented experience in working with analysis of adaptive immune receptor repertoires

What do we offer?

A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet 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. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. Karolinska Institutet is also a state university, which entitles you to several good benefits through our collective agreement. And you get to practice freely in our modern wellness facilities, where trained staff are on site.

Location: Solna


Welcome to apply at the latest 2023-09-15.

The application is to be submitted through the Varbi recruitment system. In this recruitment, you will apply with your CV without a personal letter. Instead, you will answer some questions about why you are applying for the job in the application form. 

Permanent position is initiated by a six months trial period.

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 the agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 100 %
City Stockholm
County Stockholms län
Country Sweden
Reference number STÖD 2-2954/2023
  • Gunilla Karlsson Hedestam,
Union representative
  • Henry Wölling, SEKO,
  • Carina Eklund, OFR,
  • Taher Darreh-Shori, SACO,
Published 21.Aug.2023
Last application date 15.Sep.2023 11:59 PM CEST

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