Research Assistant in Process Mining in Healthcare

Do you want to contribute to top quality medical research?

At the Division of Radiology, part of the Department of Clinical Science, Intervention and Technology, we focus on digital medical devices, their development, implementation and value in use. We evaluate the effects of these medical devices in the healthcare flow before implementation to identify ways to promote sustainability in the change processes that their use may entail. As of now we are involved in two projects targeting different digital medical device solutions. 

We are currently seeking a research assistant for a fixed-term position of one year.

Projects Background

Heart failure affects 1-3% of individuals in developed nations, with many cases undiagnosed. The FAITHFUL project aims to improve diagnosis rates by utilizing Idoven's AI solution, Willem, to interpret ECG data at the primary care level, thereby streamlining the diagnostic process for heart failure.  

In Europe, 61 million people live with diabetes, and one in four individuals over 65 is affected by this condition. The rising prevalence of diabetes poses a significant challenge to the sustainability of healthcare systems, with annual costs reaching at least €72 billion. VBHC models, like SMARTDIABETES, seek to balance efficiency and quality in patient care, addressing these challenges effectively.

Your mission

As a research assistant, you will contribute in analyzing the value-related data associated to the adoption of the novel digital devices in both projects. Value is multidimensional and requires methodologies specifically useful for longitudinal analysis like process mining to perform such analysis.

Your responsibilities will include: 

• Conducting research on process mining and data analytics for multidimensional analysis
• Teaching courses in data analytics and signal procession for both technical and clinical audiences, sharing expertise with students and professionals
• Analyzing and interpreting research data, preparing scientific publications, and presenting findings at international conferences
• Supporting pilot activities to collect and analyze data.

Your profile

To be eligible for employment as a research assistant you must have at least master's level in a medical field. 

You should also have: 

• Solid experience with R, advanced statistical methods, data analysis, process mining 
• Documented teaching experience in epidemiology and process mining and advanced statistics
• Very good knowledge of English, both written and spoken.

Further qualifications include: 

• Experience in different programs such as BupaR and Shinyapps
• Experience in clinical studies.
• Master's degree in medical technology or equivalent.

As a person, you are mature and confident, with the ability to take responsibility and work independently. You work in a structured and methodical manner, allowing you to stay organized even in complex projects with many components. You have excellent collaboration skills and feel confident working closely with colleagues from different areas of expertise in interdisciplinary teams. You have strong analytical skills and a natural interest in solving problems and drawing well-founded conclusions based on available information. Great emphasis will be 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. 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: Flemingsberg

Choose to work at KI – Ten reasons why

EIT Health - Smartdiabetes

Application

The application is to be submitted through the Varbi recruitment system. For this recruitment, you apply with your CV only, without a cover letter. In the application form, you will instead be asked to answer a few questions about why you are applying for the position.

Welcome to apply at the latest 10 december 2025.

Permanent position is initiated by a six months trial period.

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