14 Postdoctoral Fellowship at Karolinska Institute, Sweden

The current project will be centered around characterizing changes in local cell-cell networks during early esophageal epithelial transformation. We have recently described how the esophageal epithelium is regionalized, and how local cell-cell networks and transcriptional signatures contribute to epithelial homeostasis. We are now interested in understanding how these local cell architectures change during tumor initiation. This work will include characterization of epithelial, stromal and immune cell populations in esophageal tissue using a variety of mouse models, organoid co-cultures and spatial sequencing technologies to identify relevant cell-cell interactions.

We seek a curious, highly motivated, and creative postdoc with a strong background in cell or tissue biology. The ideal candidate should have practical experience working with mouse models and analyzing sequencing data. Experience with organoid cultures and molecular biology is a strength. Excellent interpersonal and communication skills (in English written and verbal) is required. Emphasis will be also placed on personal suitability, fitting well into the current research group.

A postdoctoral scholarship is available in the lab of Emma R Andersson at the Department of Cell and Molecular Biology, Karolinska Institutet.

The Department of Cell and Molecular Biology (CMB) is a department with a strong focus on basic science. CMB conducts research and education in cell biology, molecular biology, developmental biology, stem cell biology, cancer and infection biology. CMB is located in Biomedicum, a new interdisciplinary research center designed to concentrate much of the experimental research conducted at Karolinska Institutet Campus Solna under one roof to promote collaboration. Biomedicum houses approximately 1,200 researchers and other personnel and allows expensive equipment to be shared and utilized more effectively.

We are seeking a highly motivated Computational Biologist at the postdoctoral level to join our team. The primary responsibilities include bioinformatics analyses with a strong focus on single-cell RNA sequencing and next-generation single-cell barcode lineage tracing, as well as the interpretation of complex biological processes. A demonstrated interest in data visualization and large-scale data analysis is highly desirable.

The ideal candidate will have a keen interest in understanding complex biological systems, their development, and how disruptions in homeostasis contribute to pathological conditions. The position involves close collaboration with PhD students, postdoctoral researchers, and international partners. Active participation in other ongoing projects in the lab and clear communication of research findings to both specialized and general audiences are expected.

Additional responsibilities include: performing data quality control, management, and archival storage; analyzing large-scale datasets, developing code, and creating novel tools and methods for advanced data analysis; supporting ongoing research activities, contributing to manuscript and grant writing, and preparing presentations for scientific meetings; helping shape, maintain, and develop the group’s computational infrastructure.

Our research is centred upon antimetabolite cancer therapies, which remain standard-of-care for many cancers including leukaemias. However, their efficacy can vary, and the underlying molecular mechanisms can remain unclear. Thus, we aim to further our basic understanding of how these agents exert their therapeutic effects, to understand why in some instances they work and in others they do not, and leverage this information to design therapy improvements. In this project, we will focus upon the treatment of T-cell acute lymphoblastic leukaemia.

The successful candidate will employ an array of biochemical, molecular and cell biology-focused approaches, together with collaborating with our clinical partners in the Herold lab, (Department of Women’s and Children’s Health), to fulfil the translational research goals of this project.

This call is part of the KI-SciLifeLab Clinical Translational Postdoc Program with the purpose of promoting interaction between the SciLifeLab research environment and clinical research environments at Karolinska Institutet. The postdocs that are recruited to the program will form a network with the support of the SciLifeLab Committee KI.

We are looking for a motivated and talented postdoctoral researcher to join our team. The successful applicant will work on innovative projects focused on risk prediction and personalized treatment in child and adolescent psychiatry, applying advanced methods in epidemiology, pharmacoepidemiology, and AI.

As part of a well-funded and internationally collaborative research group, you will contribute to large-scale data management and analysis, manuscript preparation, grant application, and academic career development.

This is a two-year position with possibility of extension. For experienced postdocs, we provide strong support for academic career progression beyond the postdoc period.

The Postdoctoral Researcher will study the molecular mechanisms of novel compounds that inhibit the UPS. A variety of cell biology techniques will be used to reach this goal. These techniques include, but are not limited to, advanced molecular biology, flow cytometry, fluorescence microscopy, cell culture, high-throughput screening and genetic manipulation. Good collaborative efforts are required.

The Baranello Lab – Drawing from our expertise in the fields of topoisomerase and cancer biology, we aim to answer fundamental questions about how transcription, replication and DNA topology are functionally coordinated in human cells. We use state-of-the-art approaches to assess transcriptomic, epigenomic and replisomic profiles, as well as molecular biology, advanced microscopy and drug screens to understand how topoisomerase regulation affects fundamental nuclear processes (key lab references: Baranello et al. Cell 2016; Wiegard et al. Molecular Cell 2021; Das et al. Molecular Cell 2022; Cameron et al. Science Advances 2023). The overall aim is to reveal novel cancer therapy targets and improved strategies for personalized treatment.

Recently we have identified a protein complex called “topoisome” in which the oncoprotein MYC recruits and increases the catalytic activities of both Topoisomerase 1 and 2 to promote high rates of transcriptional (Das et al. Molecular Cell 2022). The successful candidate will play a leading role in a full-time research project funded by the European Research Council Consolidator Grant, focused to address the functional role of the topoisome during transcription. Specifically we want to study the coordination of the topoisome and the transcriptional machinery. The outcome of this work is predicted to inspire a new strategy to target MYC in cancer, which will be tested in MYC-driven cancer models. This multidisciplinary project involves master biochemistry, master molecular biology, proteomics/genomics, and computational analysis. The postdoc will plan and execute experiments, analyze data, interpret, and present the results, supervise students as well as write scientific articles, initially under partial supervision but with greater independence going forward.

A main line of research in the Jacobsen lab is focused on understanding the commitment pathways governing lineage fate decisions from hematopoietic stem cells (HSCs) to mature blood cells (references 1-5). This is studied primarily in mouse models. Key technologies applied towards these research questions include genetic fate-mapping, flow cytometry, mouse genetics, and various in vitro and in vivo stem cell assays.  

Projects will be pursued in part at the Center for Hematology and Regenerative Medicine (HERM), and in part at the Department of Cell and Molecular Biology (CMB). The Jacobsen lab has ongoing strong collaborations related to each of the listed projects, at the Karolinska Institutet as well as internationally, and the recruited postdoctoral candidates will benefit from interactions in a highly collaborative network.

Are you an enthusiastic and ambitious researcher with an interest in neurobiology and bioinformatics? We are searching for a postdoctoral fellow to conduct groundbreaking gene expression analyses in neurodegenerative diseases. Take the opportunity to work in an international environment with world-leading research and contribute to the development of new diagnostic biomarkers and treatment strategies for Alzheimer’s disease.

The successful applicant will conduct research with a focus on NAD-dependent mechanisms of neurodegeneration. The glaucoma research group has a current focus on mechanisms of neurodegeneration and neuroprotection, in particular; neurodegeneration, neuro-metabolism, and neuroinflammation. The group seeks to strengthen its focus on novel treatment strategies focusing on neuronal metabolism. The candidate is expected to maintain established networks and collaborations (basic, translational, and clinical in nature) with other groups at the division, department, at KI, nationally and internationally, as well as outreach to the general society, in addition to key industry / pharma partners that the lab is working with.

Circadian rhythms are controlled by internal clocks present in all organs, with the liver playing a central role in coordinating rhythms across the body through secreted signals. Preliminary findings suggest that the liver influences gene expression in other tissues, such as fat, via time-dependent secretion of specific proteins. This project will combine expertise in chronobiology and cutting-edge proteomics to identify and characterize these liver-derived signals. The overall goal is to understand how the circadian system coordinates communication between organs to maintain physiological balance.

• Perform LC/MS based proteomic analyses of circulating proteins and assess their impact on organs in mouse models and cell cultures.
• Analyze and interpret omics data using bioinformatic pipelines in Python and R.
• Perform experiments in cell culture and animal models to validate the findings.
• Coordinate the collaboration between the chronobiology lab (led by Dr. Paul Petrus) and the proteomics lab (led by Dr. Amir Saei)