Doctoral (PhD) student position in Data-driven precision medicine and diagnostics
Karolinska Institutet/Clinical Neuroscience
The doctoral student project and the duties of the doctoral student Data-driven precision medicine and diagnostics encompasses data integration, analysis, visualization and data interpretation for patient stratification, discovery of biomarkers for disease risk, diagnosis, drug response and health monitoring. Research in precision medicine is expected to use existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging techniques, electronic healthcare data, longitudinal patient and population registries and biobanks. MS is a lifelong neurological disease that affects individuals, primarily women, in their most productive years with varying degrees of progressive disability that affects all areas of life and includes physical impairment, cognitive impairment, and fatigue. This PhD project aims to address key research questions to unravel the complexities of genotype-phenotype relationships and the progression of MS. This will be achieved by leveraging one of the largest and richest MS datasets available. Additionally, the project will generate synthetic data from personal data to mitigate scarcity in rare diseases. This will facilitate data availability for further development of predictive models, thereby enhancing the quality and scope of MS research. This PhD project employs advanced network analysis and Large Language Models to develop predictive models for MS progression. It involves constructing and analyzing a complex network that integrates omic, genotypic, and clinical datasets. You will spend most of your time on computational tasks, developing and applying methods for handling, quality control, and analysis of extensive datasets. You will be supervised researchers who collectively offer expertise in computational biology, genetics, epidemiology, and machine learning. The research will be closely linked to the WISDOM project, an EU-funded initiative coordinated by the main supervisor. Additionally, the doctoral project will be conducted within the Data-driven Life Sciences Research School. This PhD project uses advanced network analysis combined with Large Language Models (LLMs) to develop robust predictive models for MS progression. Please check here for more information: https://kidoktorand.varbi.com/en/what:job/jobID:888694/type:job/where:4/apply:1
Deadline: 2026-01-31