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The Department of Surgical Sciences (IKV) is part of the Disciplinary Domain of Medicine and Pharmacy. IKV has about 160 employees and 200 registered doctoral (third cycle) students, the majority of which are clinically active doctors and nurses. The yearly turnover is SEK 152 million. Research is conducted at the department, as well as teaching in the first, second and third cycles. Teaching is, among other areas, conducted within the education programmes for doctors, nurses and specialty nurses. Research is conducted in research groups organised according to surgical specialties and closely aligned subject areas, such as anaesthesia and intensive care and radiology. A great deal of research is conducted in cooperation between separate research groups within IKV and other departments at Uppsala University, as well as other universities in Sweden and the rest of the world. Many of the department's employees have combined positions at the University Hospital.
The research group of Anesthesiology and Intensive Care Medicine will extend the team with a researcher in bioinformatics!
Read more about our benefits and what it is like to work at Uppsala University
Project
The development of severe disease because of infection is strongly associated with host genetics. The primary dataset we're collecting is a combination of Epihealth, Simpler and the Swedish Twin Registry cross-analysed with the Swedish Intensive Care Registry. In addition, we have UKB and CLSA and hopefully SCAPIS. Initially, it will be a lot of data munging.
Duties
As a researcher working in the project above, you will be expected to manage the epidemiological and genetic databases to analyse variants associated with severe disease using human genetics methods such as Genome Wide Association (GWAS), Phenome Wide Association (PheWAS), and Mendelian Randomization (MR).
Requirements
To be qualified for employment as a researcher one must hold a doctoral degree (PhD), or a foreign degree equivalent to a doctoral degree, in genetic epidemiology, bioinformatics or a similar field. You need documented skills in data management, statistic analyses and statistic modelling (R, Python). Furthermore, it is required to have a great interest in, and experience of, genetic epidemiological study design and independently programme statistic analyses of epidemiological data. Very good knowledge of English is required, in particular regarding scientific writing. Additionally, you need to work well with others, and have the ability to independently prioritize between tasks and work in an organized way. You are detailed oriented and have a professional approach.
Additional qualifications
Experience in statistical analyses of data from Swedish national registers.
About the employment
The employment is a time-limited for 1 year. Scope of employment 100%. Starting date as agreed. Placement: Uppsala
For further information about the position, please contact: Prof. Miklos Lipcsey, miklos.lipcsey@surgsci.uu.se
For questions regarding the recruitment process, please contact HR-coordinator Louise Lundqvist, louise.lundqvist@uu.se
Please submit your application by 10th of May 2023, UFV-PA 2023/1666
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Type of employment | Special fixed-term employment |
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Contract type | Full time |
First day of employment | 2023-07-01 or as agreed |
Salary | Individual salary |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Uppsala |
County | Uppsala län |
Country | Sweden |
Reference number | UFV-PA 2023/1666 |
Union representative |
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Published | 26.Apr.2023 |
Last application date | 10.May.2023 11:59 PM CEST |