Do you want to contribute to better health for everyone?

Our research is internationally recognized for the development and evaluation of AI for radiological breast cancer diagnostics, with recent publications in journals such as Nature, Lancet Digital Health, Radiology, and MICCAI.

Data-driven Breast Radiology - Fredrik Strand's Research Group (https://ki.se/forskning/forskningsomraden-centrum-och-natverk/forskargrupper/datadriven-brostradiologi-fredrik-strands-forskargrupp) has expertise in radiology, biostatistics, and machine and deep learning. We have close collaborations with research groups at KTH and internationally with the University of California, Berkeley, and the University of Barcelona. We are now seeking a research assistant in biostatistics or epidemiology to perform the tasks below and prepare for future doctoral studies.

The Project

You will contribute to an ongoing research project that examines fairness, equity, and generalizability of clinically used AI systems for mammography-based breast cancer diagnostics and risk prediction. The position is designed as a potential pathway to doctoral studies and is funded by the Swedish Research Council.

The primary focus will be on evaluating the performance of AI models across ethnic and socioeconomic subgroups. Depending on the applicant's background and interests, there may also be opportunities to fine-tune and de-bias AI models. The goal is to identify inequalities and, where methodologically justified, evaluate strategies to reduce them while maintaining clinical performance.

Your Role

Your tasks will include:

• Linking our existing retrospective mammography screening material with Swedish registers to extract additional information
• Quality assurance and cleaning of data
• Contributing to the statistical analysis plan
• Performing statistical analyses in R and Python
• Presenting results at internal meetings, scientific conferences, and to other stakeholders
• Publishing at least one original scientific article
• Participating in our weekly journal clubs where scientific articles are discussed
• Building a solid scientific foundation to be well-prepared for doctoral studies

Who Are You?

Qualifications

You should have:

• Bachelor's or Master's degree in biostatistics, epidemiology, or a related field
• Experience in quantitative data analysis and statistical reasoning
• Strong skills in R and Python
• Excellent written and verbal communication skills in English

It is advantageous if you:

• Demonstrate a strong scientific understanding and communication ability
• Show a very good ability to effectively participate in scientific project and research discussions
• Have completed projects related to cancer screening or radiology
• Have experience working with medical images in DICOM format
• Have experience extracting data from non-SQL databases, particularly MongoDB

What Do We Offer?

A creative, international, and inspiring environment filled with competence and curiosity. Karolinska Institutet is one of the world's leading medical universities. Our vision is to drive the development of knowledge about life and work for better health for everyone. Here we conduct successful medical research and have the largest range of medical education in Sweden. As a university, Karolinska Institutet is a government authority, which means you will receive good benefits through our collective agreement. Employees at KI are also offered the opportunity for flexible working arrangements. This means that if the department you work in allows it, you can work part of your time remotely. You also have free access to our modern wellness facilities where trained staff are available.

Location: Solna

Ten reasons to choose Karolinska Institutet (https://ki.se/om-ki/tio-skal-att-valja-karolinska-institutet)

Application

Applications should be made via the recruitment system Varbi. In this recruitment, you apply with your CV without a cover letter. Instead, in the application form, you will be asked to answer a few questions about why you are applying for the job. Applications must be submitted by March 13.

By agreement. The initial employment period will be approximately 12 months. Over time, there will be opportunities to apply for other positions, including doctoral programs. Do you want to make a difference – and contribute to better health for everyone? Apply for a job with us.