Uppsala University, Genetics and Pathology

The Department of Immunology, Genetics and Pathology at Uppsala University (www.igp.uu.se) has a broad research profile with strong research groups focused on cancer, autoimmune and genetic diseases. A fundamental idea at the department is to stimulate translational research and thereby closer interactions between medical research and health care. Research is presently conducted in the following areas: medical and clinical genetics, clinical immunology, pathology, neuro-oncology, vascular biology, radiation science and molecular tools. Department activities are also integrated with the units for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including Master Programmes, at the Faculty of Medicine, and in a number of educations at the Disciplinary Domain of Science and Technology. The department has a yearly turnover of around SEK 420 million, out of which more than half is made up of external funding. The staff amounts to approximately 345 employees, out of which 100 are PhD-students, and there are in total more than 700 affiliated people.

This is a 2 year postdoc position and part of the strategic research area effort eSSENCE´s PostDoc-program: AI for the sciences: New e-Science methods and Tools

Project description:
Conduct research within our research project, but with a  focus on AI-based tools for genetic risk prediction for complex diseases. In the work, genetic data: SNP, exome and whole-genome sequence data, will be used to develop prediction models for disease. The duties include planning, conducting data analysis, compiling results, and writing and publishing scientific work. The work also includes contributing to the writing of research applications and some supervision (max. 20%) of doctoral students and students.
Further information on the activity of the research group can be found at: 
http://www.igp.uu.se/forskning/genetik_genomik/asa-johansson/

Qualifications:
To qualify for an employment as a postdoc you must have a PhD degree or a foreign degree equivalent to a PhD degree. The PhD degree must have been obtained no more than three years prior to the application deadline. The three year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc. 

Specific qualifications for the service are:
* Previous research experience of machine learning methods such as neural networks or other AI methods.
* Experience in bioinformatic or statistical analyzes of large-scale epidemiological, genetic or transcriptomic data
* Good ability to express yourself both orally and in writing in English.
* Good collaboration and communication skills.
* Documented experience in compiling and publishing scientific articles in related field.

Other merits: 
Documented experience in using machine learning methods for analysis of genetic data is a merit. 
Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.

Salary: According to individual qualifications

Start date: as soon as possible

Form of employment: general temporary employment of two years

Extent of employment: 100%

For more information contact:
Åsa Johansson,asa.johansson@igp.uu.se,070-2513132

You are welcome to apply no later than March 24, 2020. UFV-PA 2020/548.

We decline offers of recruitment and advertising help.

Type of employment Temporary position
Contract type Full time
Number of positions 1
Full-time equivalent 100%
City Uppsala
County Uppsala län
Country Sweden
Reference number UFV-PA 2020/548
Contact
  • Camilla Nilsson, 018-4710000
Union representative
  • Seko Universitetsklubben, seko@uadm.uu.se
  • ST/TCO, tco@fackorg.uu.se
  • Saco-rådet, saco@uadm.uu.se
Published 05.Mar.2020
Last application date 24.Mar.2020

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