Bioinformatician - Hiring in process/Finished, not possible to apply

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! Here you have the opportunity to work in a dynamic enviroment where academia meets hospital.

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. By using data from large cohorts and national registers, we aim to investigate which biological mechanism are behind severe diseases. 

Duties
As a bioinformatician in this research group, you get the opportunity to work with the project described above. Your tasks will be, amongst others, managing large databases of genetic data and data from national registers. You will investigate which gene variants and proteins are key factors in developing serious illness after infection by using methods such as GWAS and Mendelian randomization. Furthermore, the tasks consist of independent data processing, statistical analysis and writing scientific articles in collaboration with the research group. There is also the possibility of setting aside some time for your own research!

Requirements

• Master’s degree in bioinformatics, epidemiology or another subject area that is considered equivalent.
• Documented skills in data management, statistical analysis and statistical modeling (R, Python).
• Strong interest in, and experience of, genetic epidemiology and/or expert knowledge in genetic epidemiological study design.
• Previous knowledge and experience of independently programming statistical analysis of epidemiological data.
• Very good knowledge of the English language, both orally and in writing, as well as excellent skills in scientific writing.

You are a person who 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. We attach great importance to personal traits!

Additional qualifications

• PhD in a field of relevance for the employment
• 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 August 7th 2023, UFV-PA 2023/2677

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