About this role
Umeå University is one of Sweden's largest institutions of higher education, with over 37,000 students and approximately 4,700 employees. The university offers a diverse range of high-quality educational programs and world-leading research across several scientific fields, including the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry. At Umeå University, everything is close at hand. Our cohesive campus facilitates meetings, collaboration, and knowledge exchange, fostering a dynamic and open culture.
The societal transformation and significant green investments we are witnessing in northern Sweden create enormous opportunities and complex challenges. For Umeå University, this means conducting research on – and within – a society in transition. It also involves delivering education for regions that need to expand rapidly and sustainably. This is where the future is being created.
Are you interested in learning more? https://www.umu.se/jobba-hos-oss/om-universitetet-som-arbetsplats/
The Faculty of Medicine is one of the largest faculties at Umeå University and attracts many students with a comprehensive range of programs in medicine, dentistry, health, and care. We offer a well-developed research infrastructure and an inspiring, dynamic environment with leading research. Our close collaboration with the four regions of the Northern Healthcare Region is seen as a significant mutual asset for developing research and education and ensuring access to our future healthcare personnel.
Description
Within the framework of the project, we will utilize single-cell sequencing methods, bioinformatics, and genome editing, as well as co-culture systems to model interactions between neurons and glioma cells, with a primary focus on studying the impact of neuronal activity on 3D genome organization and cellular plasticity in glioblastoma.
With this project, we will continue our groundbreaking study of gene regulatory networks underlying neurogliomal synapses.
Experimental methodology includes single-cell sequencing (scRNA-seq and scATAC-seq), techniques to define 3D genome organization (HiChIP, HiC, Capture-C), and bioinformatics. The applicant should be able to: 1) independently plan experiments, 2) conduct research within the framework of the group’s research program, 3) establish methods, 4) analyze research results, and 5) communicate findings and present data at national and international scientific meetings.
Responsibilities
The responsibilities include cell culture of glioblastoma cells from patients as well as iPSC-derived neurons, astrocytes, and OPCs. These will be used to study how neuronal activity and other external signals affect 3D genome organization, chromatin landscape, and glioblastoma cell plasticity using multi-omic methods. The omic techniques employed include HiC, HiChIP, ATAC-seq, CUT&RUN, ChIP-seq, and RNA-seq, as well as single-cell sequencing methods. The work also involves bioinformatics analysis of all generated data using a wide range of computational tools.
Qualifications
To be eligible, you must have a PhD in biomedicine, molecular biology, or a related field, along with experience as a postdoctoral researcher. A strong background in genomics, epigenomics, and bioinformatics is required.
Experience in cell culture of human cancer cell lines, iPSCs/progenitors, as well as neurons and glial cells is a must. Experience with the following techniques is necessary: HiC, HiChIP, ATAC-seq, CUT&RUN, ChIP-seq, and RNA-seq. Documented experience in bioinformatics methods is required.
Knowledge of writing and running shell scripts and working on computing clusters such as UPPMAX or HPC2N is essential. Experience in analyzing RNA-seq data (STAR, HISAT, DESeq2, DEXSeq); ChIP-seq, CUT&RUN, and ATAC-seq data (Bowtie, MACS, SEACR, MEME, IDRtools); HiC and HiChIP data (HiC and HiC-Pro pipeline, Juicer, TopDom, HiCCUPS, FitHiC, HiCPlotter, GENOVA); as well as scATAC and scRNA-seq data (Seurat, Scanpy, STARSolo, cellRanger) is required. Experience with Python and R tools is necessary.
Meritorious
A background in neuroscience and/or glioblastoma is advantageous. Publications in gene regulation, 3D chromatin organization, and/or oncology are a plus. Knowledge of version control systems (VCS) for code (e.g., git, snakemake, micromamba) is also an asset.
Conditions
The position is full-time and permanent. Start date is March 2026 or as agreed.
Application
Your application should be submitted via the e-recruitment system Varbi and must be received by
2025-12-09.
The application should include:
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