Do you want to contribute to top quality medical research?

Do you have a master’s degree and want to work as a research engineer, facilitating the development, validation or automation/deployment of machine-learning approaches to detect and diagnose breast cancer in radiological images? We have two positions available.

Our research is internationally recognized for the development and evaluation of AI for radiological breast cancer diagnostics. Our group has expertise in radiology, biostatistics and machine learning. We have a strong collaboration with research groups at KTH, and internationally with a group at the Computational Precision Health program at the University of California San Francisco and Berkeley.

Our work

AI is a potent tool for risk prediction, detection, lesion segmentation, treatment planning, and response for breast cancer in particular. The performance of such tools heavily depends on the data used for development. Today, many research groups and commercial vendors are formulating approaches - model- and data-centric - to provide state-of-the-art models and diagnostic-assistive and precision medicine solutions. Our team has already been involved in the development of risk prediction and cancer detection models. At the same time, we have also established and currently run a national platform for external evaluation of breast cancer detection algorithms in mammograms. Our group has multidisciplinary expertise in radiology, biostatistics and machine learning.

We are now looking for two research engineers to facilitate our group's work with developing or validating AI algorithms.  

Your mission

For the validation and automation work, you will work closely with our team members involved in a national validation platform for AI in breast imaging. Your role will be to facilitate the biostatistical work of our post doc researcher, and to design and deploy automated solutions for uploading and processing external algorithms in a safe and secure manner.

For the development work, you will work closely with the post doc researchers and PhD student involved in developing machine-learning algorithms for early detection and precision medicine based on mammography, ultrasound and MRI images. Your task will be to prepare data and run experiments to facilitate the research projects.

Your profile


You should have:

  • - a master's degree in bioinformatics, biotechnology, computer science or electronic engineering
  • - very good communication skills in both writing and speaking, in English
  • - either experience as a software engineer responsible for packaging ML algorithms for deployment or experience with developing ML algorithms for radiology images

It is a merit if:

  • you have a high professional ambition level combined with a kind and emotionally mature attitude
  • you have a history of helping others to succeed in their research or development work
  • you have a strong personal interest to improve cancer care
  • you have experience in writing and documenting well-structured Python code

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


Welcome to apply at the latest 29th September.

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 2
Full-time equivalent 100 %
City Solna
County Stockholms län
Country Sweden
Reference number STÖD 2-3531/2023
  • Fredrik Strand,
Union representative
  • Helen Eriksson, OFR,
  • Henry Wölling, Seko,
  • Per Hydbring/Nick Tobin, SACO,
Published 15.Sep.2023
Last application date 29.Sep.2023 11:59 PM CEST

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