Ning Xu Landén
7 months ago
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Karolinska Institutet Postdoctoral Scholarship
Postdoctoral Researcher in Computational Biology for Molecular Wound Healing at Karolinska Institutet Karolinska Institutet in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
The position is a tax-free postdoctoral scholarship at Karolinska Institutet, set for twelve months at a time and paid out on a six-month basis. The scholarship may be granted for a maximum of two years within a four-year period following the receipt of a doctoral degree. The scholarship is intended for foreign researchers and is not available to those who have completed all or part of their academic education in Sweden.
Deadline
Expired
Country
Sweden
University
Karolinska Institutet
Ongoing programKarolinska Institutet Postdoctoral Scholarship
by Karolinska Institutet
Karolinska Institutet Postdoctoral Scholarship supports international postdoctoral researchers undertaking research training at KI in Sweden, typically for up to two years after a doctorate.
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About this position
Join the Xu Landén group at Karolinska Institutet as a Postdoctoral Researcher in Computational Biology, focusing on the molecular and cellular mechanisms of skin wound healing. The group combines advanced omics technologies, bioinformatics, and clinical collaboration to address fundamental and translational questions in tissue repair, with a particular emphasis on chronic wounds, regulatory RNAs, and epigenetic memory.
The successful candidate will lead and support computational analyses of high-dimensional molecular data related to wound healing and skin biology. Responsibilities include developing and applying reproducible pipelines for single-cell and spatial omics analyses, performing quality control, preprocessing, integration, annotation, visualization, and downstream statistical analyses, as well as contributing to data management and workflow development. The role also involves supporting large-scale analyses in Linux and HPC environments, maintaining the group’s computational infrastructure, collaborating with wet-lab researchers and clinicians, and contributing to manuscripts and grant applications.
Applicants must have a PhD in bioinformatics, computational biology, systems biology, or a related field, with strong programming skills in R and/or Python, experience in omics data analysis, and proficiency in reproducible data analysis and workflow development. Additional desirable qualifications include experience in skin biology, tissue repair, epigenetics, multi-omics integration, advanced statistics, machine learning, and collaborative research projects.
The position is a tax-free postdoctoral scholarship, set for twelve months at a time and paid out on a six-month basis, with a maximum duration of two years. The scholarship is intended for foreign researchers who have not completed their academic education in Sweden. Karolinska Institutet offers a creative and inspiring environment with world-class infrastructure, strong clinical links, and excellent opportunities for scientific development and international collaboration.
The position is located within the Department of Medicine, Solna, in the Division of Dermatology and Venereology. The Xu Landén group investigates the mechanisms underlying skin physiology and disease, aiming to develop better treatments and advance translational dermatology research. Current projects include building single-cell and spatial maps of human wounds, defining the function of wound-related regulatory RNAs, and investigating how epigenetic memory influences wound repair.
Application deadline: 23 April 2026. For full details and to apply, visit the Varbi recruitment system. Contact Ning Xu Landén at [email protected] for further information.
Funding details
The position is a tax-free postdoctoral scholarship at Karolinska Institutet, set for twelve months at a time and paid out on a six-month basis. The scholarship may be granted for a maximum of two years within a four-year period following the receipt of a doctoral degree. The scholarship is intended for foreign researchers and is not available to those who have completed all or part of their academic education in Sweden.
What's required
Applicants must have a PhD in bioinformatics, computational biology, systems biology, or a related field. Required qualifications include documented experience in omics data analysis (bulk and single-cell RNA-seq, ATAC-seq, spatial transcriptomics), strong programming skills in R and/or Python, experience with reproducible data analysis and workflow development, experience working in Linux-based environments and with large-scale data processing (preferably on HPC systems), strong scientific writing skills, a solid publication record, ability to work independently and collaboratively, and excellent communication skills in English. Meritorious qualifications include research experience in skin biology, tissue repair, reparative medicine, epigenetics, or RNA biology; experience in multi-omics integration, advanced statistics, machine learning, or biological data visualization; experience developing or maintaining shared research computing infrastructure; and prior postdoctoral or equivalent full-time research experience after the PhD.
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Professors
Senior Lecturer, Associate Professor, Group leader
Sweden
Research Interests
Cell Biology
Tissue Engineering
Rna Biology
Inflammatory Biology
Tissue Repair
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