Do you want to contribute to top quality medical research?

Do you want to work with evaluating the diagnostic ability of artificial intelligence (AI) for breast cancer diagnosis? In collaboration between Karolinska Institutet, Lund University, Linköping University and the Swedish Breast Cancer Association, we are involved in the project VAI-B (validation of AI in breast radiology) which is funded by the Regional Cancer Centers in Collaboration and by Sweden’s Innovation Agency, Vinnova. We are finalizing the pilot phase of establishing a national platform for validating and evaluating the accuracy and reliability of commercial and academic AI algorithms in the detection and diagnosis of breast cancer based on mammography images. The goal is for VAI-B to facilitate a safe and optimized introduction of AI methods in mammography and breast cancer care. Our research group is part of the Department of Oncology and Pathology at Karolinska Institutet.

Your mission

We have internationally well-established research for the development and evaluation of AI for radiological breast cancer diagnosis. Our group has expertise in radiology, biostatistics and machine learning. In addition, we have a strong collaboration with research groups at KTH.
Our international collaborations include the University of California San Francisco and Berkeley.

We are now looking for a research engineer to be responsible for performing, and reporting, statistical analyzes, evaluations, and comparisons of AI algorithms.

In collaboration with the rest of the team, you will be involved in quality assurance of the curation of register data and radiological images from various information owners in Sweden. You will be responsible for performing statistical analyzes regarding the accuracy of the installed AI algorithms compared to registered cancer diagnoses and compared with the radiologists' assessments. We expect you to be able to work with our mongoDB database containing clinical outcome data, radiological assessments and AI predictions. This could involve modifying or writing Python scripts to make queries, as well as statistical scripts to perform the analyzes.
There might opportunities to develop your own models, such as meta-models that can predict which AI algorithm would work best in a particular case.

Your profile

Qualifications

You should have:

  • A  master of science in bioinformatics or similar area
  • Written advanced scripts to perform statistical analyzes in, for example, Stata or R
  • Experience of, or interest in learning database administration, especially regarding MongoDB
  • Very good communication skills in both writing and speaking, in English and Swedish

It is a merit if:

  • You have an interest in cooperating internationally
  • You have a strong motivation to improve breast cancer care
  • Experience of writing Python scripts

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. Our vision is to pursue the development of knowledge about life and to promote a better health for all. At Karolinska Institutet, we conduct successful medical research and hold the largest range of medical education in Sweden. Karolinska Institutet is also a state university, which entitles you to several good benefits through our collective agreement. And you get to practice freely in our modern wellness facilities, where trained staff are on site.

Location: Solna

Choose to work at KI – Ten reasons why

Application

Welcome to apply at the latest 25 May.

The application is to be submitted through the Varbi recruitment system.In this recruitment, you will apply with your CV without a personal letter. Instead, you will answer some questions about why you are applying for the job in the application form. 

This position is for 1 year. 

Want to make a difference? Join us and contribute to better health for all

Type of employment Temporary position
Contract type Full time
First day of employment Up on agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 100 %
City Solna
County Stockholms län
Country Sweden
Reference number STÖD 2-1942/2023
Contact
  • Fredrik Strand, fredrik.strand@ki.se
Union representative
  • Helen Eriksson, OFR, helen.eriksson@ki.se
  • Henry Wölling, henry.wolling@ki.se
  • Per Hydbring/Nick Tobin, Saco, per.hydbring@ki.se/nick.tobin@ki.se
Published 11.May.2023
Last application date 25.May.2023 11:59 PM CEST

Return to job vacancies