Research Assistant for Data Curation and Initial Modelling for Multidisciplinary Decision Support in Breast Cancer

Do you want to contribute to improving human health?

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

We are now looking to recruit one research assistant.

Your mission

We are seeking a highly motivated Research Assistant to join our group — aiming at an interdisciplinary research program focused on developing AI-assisted decision support tools for clinicians involved in Multidisciplinary Tumor Boards (MTBs) in oncology. The goal is to integrate clinical text, structured EHR data, and imaging outputs into a collaborative AI framework. This work is at the intersection of machine learning, clinical data science, and precision oncology, and is aligned with planned PhD projects.

Your tasks may include:

• Curate and preprocess retrospective breast cancer cases from multiple sources: EHR, radiology and pathology reports, as well as national registries.
• Link EHR data with medical imaging (e.g., mammography, MRI), including AI-generated outputs when available.
• Structure data for use in machine learning workflows, focusing on creating clean, well-documented datasets suitable for multi-agent AI development.
• Assist in implementing and benchmarking early models for text-based prediction of clinical outcomes.
• Collaborate with clinicians and researchers to ensure correct data interpretation and alignment with clinical workflows.
• Document pipelines and processes to support reproducibility and future handover to PhD students.

Your profile

Qualifications

You should have:

• A strong personal interest in developing AI for medical decision support including image analysis using state-of-the-art deep learning architectures and techniques.
• Enrolled in Bachelor's or Master's degree program in computer science or related field, with an end date in July 2025 at the latest

It is a merit if you have:

• Experience with developing tools for medical image analysis, especially radiological images.
• Excellent communication skills in both writing and speaking in English.

We place great emphasis in personal qualities. 

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 23 April. 

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. 

Start date August 25 (or per agreement). The initial employment period will be approximately 12 months.

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