Research Assistant in Biostatistics or Epidemiology

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Do you want to contribute to better health for all?

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 and deep learning. We have a strong collaboration with research groups at KTH, and internationally with University of California Berkeley and with University of Barcelona.

We are now looking to recruit a research assistant in biostatistics or epidemiology to perform the tasks below, and to become prepared for a future doctoral study program.

The Project

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

The primary focus will be AI model performance evaluation across ethnic and socioeconomic subgroups. Depending on the applicant’s background and interest, there may be an opportunity to fine-tune and de-bias AI models. The aim is both to identify disparities and, where methodologically justified, to evaluate strategies to reduce them while maintaining clinical.

Your mission

Your tasks will include:

• Link our existing retrospective screening mammography with Swedish registries to extract additional information
• Quality check and clean data
• Contribute to the statistical analysis plan
• Perform statistical analyses in R and Python
• Present results in internal meetings, in professional conferences and to other stakeholders
• Publish at least one original research paper
• Participate in our weekly journal clubs discussing scientific papers
• Obtain a scientific foundation to be well prepared for a doctoral study program

Your profile

Qualifications

You should have:

• Bachelor’s or Master’s degree in Biostatistics or Epidemiology or related field
• Experience with quantitative data analysis and statistical reasoning
• Proficiency in R and Python
• Excellent written and spoken English communication skills

It is a merit if you:

• Demonstrate excellent scientific understanding and communication
• Demonstrate excellent ability to effectively participate in scientific project discussions
• Have carried out projects related to cancer screening or radiology
• Have experience in working with medical images in DICOM format
• Have experience extracting data from non-SQL databases, specifically MongoDB

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

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Fredrik Strand Research group

Application

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. Apply at the latest 13^th March. 

Start time, per agreement. The initial employment period will be approximately 12 months.
With time, there will be opportunities to apply for other positions including doctoral student program.

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 2-756/2026

Contact

• Fredrik Strand, fredrik.strandki.se
• Apostolia Tsirikoglou, ?url=apostolia.tsirkoglou.ki.se&module=jobs&id=3211415" target="_blank" rel="nofollow">apostolia.tsirkoglou.ki.se

Union representative

• Helen Eriksson/Sara Jalali, OFR, helen.erikssonki.se/sara.jalaliki.se
• Elisabeth Valenzuela, Seko, elisabeth.valenzuelaki.se
• Per Hydbring och Nick Tobin, SACO , per.hydbringki.se/nick.tobinki.se

Published
20.Feb.2026

Last application date
13.Mar.2026

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