Do you want to contribute to top quality medical research?

The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within biomedical science. The department is among the largest of its type in Europe and has especially strong research profiles in psychiatric, cancer, reproductive, pediatric, pharmaco, genetic, and geriatric epidemiology, eating disorders, and biostatistics. Our department consists of researchers, doctoral students, biostatisticians, data collectors and database administrators as well as administrative personnel, in total some 270 staff.

The department is situated at campus Solna. Further information can be found at ki.se/en/meb.

The prostate cancer group at MEB conducts international cutting-edge research in prostate diagnostics and tailored treatment. Specifically, the group has for several years worked with artificial intelligence-based models to assist pathologists in their assessment of prostate biopsies.

Your mission

In order to build models based on artificial intelligence to be used for pathological assessment of prostate biopsies, it is required that the physical glasses on which the biopsies are located are digitized with the help of special scanners for digital pathology. Clinical variables describing the biopsies also need to be collected from reports written by pathologists in several different languages. Your responsibility is 1): to carefully review the reports in PDF format and collect the clinical variables into structured Excel tables; 2) to digitize glass slides of prostate biopsies into high-resolution images with a digital pathology scanner.

The position is an hourly employment of 3-6 months with flexible working hours. The work can only be conducted on site in Solna. The person hired will need to be available for start immediately.


Who are you?

You are thorough and work well independently and together with others. Being able to read the reports in Finnish and Italian is a requirement. You must also be able to communicate with colleagues in English. We also require earlier experience of digital pathology scanning on Grundium Ocus scanners.

Other knowledge in medicine, digital pathology or computer science is an advantage. Great emphasis is placed on personal suitability.

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. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research. Several of the people you meet in healthcare are educated at KI. A close relationship with the health care providers is important for creating groundbreaking top quality education and research. Karolinska Institutet is also a state university, which entitles you to several benefits through our collective agreement.


Location: 
Solna


Application

A warm welcome with your application no later than 2nd of Marsch.

The application must be made via the recruitment system Varbi.

Do you want to make a difference - and contribute to better health for all? Apply for a job with us.

Type of employment Special fixed-term employment
Contract type Part-time
Number of positions 1
Full-time equivalent Enligt överenskommelse
City Stockholm
County Stockholms län
Country Sweden
Reference number STÖD 2-728/2023
Contact
  • Martin Eklund, manager, martin.eklund@ki.se
  • Kimmo Kartasalo, kimmo.kartasalo@ki.se
Union representative
  • Henry Wölling, SEKO, henry.wolling@ki.se
  • Ann Almqvist, SACO, ann.almqvist@ki.se
  • Niklas Andersson, OFR, niklas.andersson@ki.se
Published 16.Feb.2023
Last application date 02.Mar.2023 11:59 PM CET

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