Karolinska Institutet invites applications for up to two full-time postdoctoral positions in cardio-renal epidemiology and data-driven precision medicine, based at the Department of Medical Epidemiology and Biostatistics in Solna, Sweden. The department is one of the largest in its field, conducting cutting-edge research in epidemiology, biostatistics, and biomedical science. The research group, led by Professor Juan Jesus Carrero, is multidisciplinary, integrating expertise from epidemiology, biostatistics, data science, and clinical medicine, and collaborates actively both nationally and internationally. Research in the group focuses on precision medicine for cardio-renal diseases, utilizing large-scale register and laboratory data, causal and predictive modeling, and computational image analysis of kidney biopsies. Key areas include individualizing health trajectories for chronic kidney disease, developing risk-based clinical decision support tools, identifying and addressing care gaps in clinical management, optimizing knowledge of treatment effects through causal inference, and defining individualized treatment strategies using machine learning. The group is also initiating digital pathology and image-based analyses to correlate kidney biopsy image features with health outcomes and treatment responses. Postdoctoral researchers will work with unique data sources such as the Stockholm CREAtinine Measurements (SCREAM) project and the Swedish Kidney Pathology (SKIP) project, which together encompass health data from over 9 million individuals. The positions offer opportunities to develop and lead research projects, collaborate within a dynamic team, coach PhD and master students, and contribute to high-impact research with real-world implications for kidney and cardiovascular diseases. Responsibilities include developing analysis plans, protocols, ethical and funding submissions, and disseminating findings through conferences and publications. Applicants must hold a PhD (or equivalent) in Medicine, Pharmacy, Biostatistics, Epidemiology, Computer Science, Image Analysis, or another quantitative discipline. Required skills include proficiency in statistical programming (R or Python), advanced analytical techniques (causal inference, machine learning, time-to-event analysis), and effective communication and collaboration abilities. Experience with register or large-scale health data is advantageous but not mandatory. The position is full-time, fixed-term for two years, with the possibility of extension, and offers a competitive salary and benefits according to Swedish postdoctoral standards. Applications should be submitted via the Varbi recruitment system by January 6th, 2026, and must include a PhD certificate, complete resumé, list of publications, and a motivation letter. The group provides mentorship, integration into an international research community, and access to comprehensive Swedish healthcare data. Join Karolinska Institutet to contribute to top-quality medical research and make a difference in global health.