Postdoctoral studies in bioinformatics: AI-assisted image analysis and multi-modal data integration for sub-phenotyping of obstructive lung diseases (scholarship)
Karolinska Institutet invites applications for a postdoctoral scholarship in bioinformatics, focusing on AI-assisted image analysis and multi-modal data integration for sub-phenotyping of obstructive lung diseases. The successful candidate will join the Pulmonomics research group, led by Associate Professor Åsa Wheelock, at the Center for Molecular Medicine (CMM). The group is part of the Division of Immunology and Respiratory Medicine and collaborates closely with clinicians at the Karolinska University Hospital.
This multidisciplinary systems medicine team investigates molecular mechanisms underlying obstructive lung diseases, including preterm birth related lung disease (PRLD), post-COVID chronic lung disease, and COPD in never-smokers. The position offers a leading role in analyzing bulk and single-cell RNA-seq data, miRNA-seq data from scarce particle samples, multi-omics integration, and network medicine. Candidates will implement computational quality control and analysis pipelines for omics data from clinical lung samples and assist other researchers in bioinformatics analysis and data visualization.
There are opportunities to contribute to AI-assisted image analysis applications for proteomics and to develop Digital Twin projects. The position is highly flexible, supporting candidates interested in grant writing and developing independent research group leadership. A major focus is the unique LUNAPRE cohort, which studies very prematurely born individuals with or without bronchopulmonary dysplasia (BPD), followed since birth. The project aims to achieve molecular sub-phenotyping and mechanistic investigations of obstructive lung disease in this heterogeneous and rapidly growing patient group.
Applicants must have a Ph.D. in bioinformatics, biostatistics, systems medicine, or an omics-related field with extensive data analysis experience. Required skills include designing and deploying data management, quality control, and analysis pipelines for bulk and single-cell RNA-seq data on remote Linux-based computational clusters, strong statistical analysis and complex data visualization, and knowledge of relevant bioinformatic tools. Excellent communication skills in English and the ability to interact socially and scientifically with colleagues are essential. Previous postdoctoral experience and experience with longitudinal time-series and fluctuation analysis are considered merits.
The scholarship is tax-free, granted for up to two years within a four-year period following receipt of a doctoral degree, and paid out on a six-month basis. Only foreign researchers who have not carried out academic education in Sweden are eligible. Applicants who have not completed a doctorate at the end of the application period may apply if all requirements are met before the start date.
Karolinska Institutet offers a creative and inspiring environment with wide-ranging expertise and interests, innovative medical research, and the largest range of biomedical education in Sweden. The Pulmonomics group focuses on translational studies in patient cohorts and innovation in proteomics, multivariate modeling, and data integration. Candidates interested in innovation can pursue this avenue through links to the Uppsala Innovation Center. The group’s translational systems medicine studies profile multiple molecular levels from various lung compartments using a range of omics platforms and extensive clinical phenotyping.
To apply, submit your application via the Varbi recruitment system, including a complete CV, list of publications, summary of current work, and other required documents in English or Swedish. The deadline for applications is April 19, 2026.
