Summary
The Li Research Group at Karolinska Institutet is seeking a highly motivated Postdoctoral Researcher to contribute to a research program investigating the development of the human central nervous system (CNS), how it is disrupted by injury and disease, and how it can be harnessed for regeneration and repair. The group utilizes an interdisciplinary approach, integrating single-cell and spatial multi-omics, human developmental tissue, stem cell and organoid models, perturbation approaches, and in vivo models.
Postdoctoral Researcher in Single-Cell and Spatial Omics of CNS Development and Disease
Designation
Postdoctoral Researcher
Research Area
- Single-cell and spatial multi-omics
- CNS development and regeneration
- Stem cell responses to spinal cord injury
- Neural stem cell transplantation
- CNS organoids
- Developmental mechanisms of brain tumours
- Computational biology, bioinformatics, genomics
Location
Solna, Karolinska Institutet, Sweden
Eligibility/Qualification
Required Qualifications:
- PhD or a foreign degree equivalent to a Swedish PhD (must be fulfilled by the employment decision date).
- Documented experience in analyzing single-cell or single-nucleus RNA-seq data.
- Documented experience in analyzing spatial transcriptomics or other spatial omics data.
- Strong programming skills in R and/or Python.
- Experience with key analytical tasks including quality control, cell-type annotation, differential analysis, data integration, and biological interpretation.
- Experience handling large and complex biological datasets and applying appropriate statistical approaches.
- Ability to independently develop and maintain reproducible computational workflows, troubleshoot analyses, and critically interpret results.
- Good communication skills in English and ability to collaborate effectively.
Advantageous Qualifications:
- Completion of doctoral degree within the last three years.
- Experience with large-scale data integration, high-performance computing, multi-omics, chromatin accessibility data, gene-regulatory network analysis, trajectory or cell-fate modelling, machine learning, or perturbation-data analysis.
- Experience in CNS development, stem cell biology, brain tumours, or organoid research.
- Previous computational method development.
Job Description
The postdoctoral researcher will contribute to a research program focused on using large-scale single-cell, multi-omic, and spatial datasets to understand cellular states and cell-fate decisions during CNS development and disease. Duties will primarily involve analyzing datasets from human and rodent CNS development, brain tumours, and organoid models, with opportunities to connect computational discoveries to experimental perturbation and validation.
Key Duties Include:
- Analyzing single-cell/nucleus RNA-seq, spatial transcriptomics, and related omics datasets.
- Integrating large datasets across samples, developmental stages, anatomical regions, experimental models, and disease conditions.
- Identifying and characterizing cell states, developmental trajectories, regulatory programs, and spatial organization.
- Performing multi-omic and cross-modality analyses.
- Developing or adapting computational approaches for large-scale data integration, predictive modelling, gene-regulatory analysis, and cell-fate inference.
- Contributing to projects investigating cell-intrinsic regulation and microenvironment influence on cell fate.
- Collaborating with experimental researchers to generate hypotheses, guide validation, and interpret results.
- Contributing to study design, reproducible analysis pipelines, data visualization, manuscript preparation, and development of new computational directions.
This is a fixed-term employment for two years, with a possibility of extension. The position offers close interaction with experimental researchers and opportunities to develop new analytical approaches and independent computational research directions.
How to Apply
Applications must be submitted through the Varbi recruitment system. The application must contain the following documents in English or Swedish:
- PhD certificate.
- A complete resumé, including date of thesis defence, thesis title, previous academic positions, academic title, current position, academic distinctions, and committee work.
- A complete list of publications.
- A summary of current work (no more than one page).
Apply Link
Last Date for Apply
Until position filled
