Karolinska Institutet is seeking a Research Assistant with a BSc or MSc in Biostatistics or Epidemiology to join a leading research group focused on developing and evaluating AI models for breast cancer risk prediction and radiological diagnostics. The group, led by Research Leader and Radiologist Fredrik Strand, is internationally recognized for its work in AI for mammography-based breast cancer diagnostics, with recent publications in top journals such as Nature and Lancet Digital Health. Collaborations include KTH, University of California, Berkeley, and University of Barcelona.

The position is part of a project investigating fairness, equity, and generalizability of clinical AI systems for breast cancer screening. The main tasks involve linking retrospective mammography screening data with Swedish registries, ensuring data quality, contributing to statistical analysis plans, performing analyses in R and Python, and presenting results at meetings and conferences. The role also includes publishing at least one original scientific article and participating in weekly journal clubs to build a strong foundation for future doctoral studies.

Applicants should have a degree in biostatistics, epidemiology, or a related field, with experience in quantitative data analysis and proficiency in R and Python. Strong English communication skills are required. Additional merits include experience in cancer screening, radiology, medical imaging (DICOM), and data extraction from non-SQL databases like MongoDB.

The position is fully funded for approximately 12 months, with a monthly salary and benefits under the university's collective agreement, including flexible work arrangements and access to fitness facilities. The role is designed as a potential pathway to a PhD position. The application deadline is March 13, 2026, and applications should be submitted via the Varbi recruitment system with a CV and responses to application questions (no cover letter required).

For more information, contact Fredrik Strand at [email protected] or visit the job posting link.