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We are committed to uncover hidden mechanisms of autoimmune diseases for designing of better cure for patients and ultimately for prevention of these diseases.
Major responsibility is in developing strong and goal-oriented bioinformatic support and coordination of related projects between groups within Division of Rheumatology. Successful candidate will be responsible for support and evaluation of the data, integration of the big data in studying of mechanisms of autoimmune diseases, prognosis of disease development and treatment outcomes prediction. These projects will include, but are not limited, to data generation by genome-wide genotyping, whole genome sequencing, DNA methylation studies, transcriptomics in human tissues, including spatial transcriptomics, and in single cells. Based on these activities, it is expected that high quality scientific publications will be generated, and that the candidate will be be active in applying for additional funds uring the time of work.
The applicant should have PhD in genome analysis, and at least 5 published scientific articles (original articles and reviews). General knowledge in bioinformatics, genetics, genomics, and human pathology should be confirmed either through basic education or by contribution to the area with published articles. The applicant should be able to perform data preparation, quality control of data and bioinformatics analyses, including GWAS, single-cell, spatial and conventional transcriptomics analyses with available tools, including machine learning, and be able to modify and to adapt these tools to everyday practice. Excellent knowledge of R and Python programming is obligatory. Additionally, the applicant should demonstrate strong communication skills for collaboration in clinical environment.
Bases of assessment
Major evaluation criteria for the applicant will be the contemporary level of scientific expertise in bioinformatics and specifically in area of genetics, genomics and pharmacogenomics of autoimmune diseases with the focus on rheumatoid arthritis. Personal involvement in evaluation of big data within research projects, running up collaborative work and managing industrial and international collaborations are important criteria. Candidate’s data management efficiency and accuracy in publishing of research are essential. The candidate should be fluent in English and has ability to communicate in multiethnic environment.
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 better health for all. At Karolinska Institutet, we conduct innovative medical research and provide the largest range of biomedical education in Sweden. Karolinska Institutet is a state university, which entitles employees to several benefits such as extended holiday and a generous occupational pension. Employees also have free access to our modern gym and receive reimbursements for medical care.
The position is located within the Department of Medicine, Solna. The department consists of twelve divisions and each division consists of several research groups. The position is located within the divison of reumatology.
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The application is to be submitted through the Varbi recruitment system.
Type of employment | Permanent position |
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Contract type | Full time |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | STÖD 2-1306/2021 |
Contact |
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Union representative |
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Published | 12.Mar.2021 |
Last application date | 02.Apr.2021 11:59 PM CEST |