Karen Dixon
3 months ago
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Staff Scientist/Postdoctoral Fellow - Computational Biology University of Basel in Switzerland
Degree Level
Postdoc
Field of study
Immunology
Funding
Available
Deadline
Expired
Country
Switzerland
University
University of Basel
Suggested positions
Keywords
About this position
The University of Basel’s Department of Biomedicine is offering a fully funded postdoctoral position in computational biology within the Cancer Neuroimmunology group led by Prof. Karen Dixon.
This role is based in Basel, Switzerland, and sits at the intersection of cancer biology, immunology, neuroscience, and computational science. The project focuses on understanding neuro-immune interactions in cancer, with particular interest in the innervation landscape of peripheral tumors and the role of intra-tumoral neurons in tumor progression, metastasis, and anti-tumor immunity.
The successful candidate will lead computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets; develop reproducible, well-documented analysis pipelines; and apply machine learning and AI methods to biological questions. The position also involves close collaboration with experimental scientists, contribution to grant writing, and support for the lab’s computational strategy. In addition, the fellow will mentor PhD students and postdoctoral researchers and be encouraged to publish first-author papers and present at international conferences.
Applicants should hold a PhD in computational biology, bioinformatics, computer science, mathematics, biomedical sciences, or a closely related field. Experience with single-cell and/or spatial omics is required, together with strong computational data analysis skills, scientific computing proficiency, and the ability to work independently in a collaborative, interdisciplinary setting. Prior exposure to neurobiology, immunology, or cancer biology datasets is beneficial but not essential.
The Department of Biomedicine provides a large, collaborative, and international research environment with strong mentorship, career development support, and proximity to neighboring labs in neuroscience, immunology, oncology, and cancer immunology. The post is fully funded. Applications are due by 2026-08-28, and candidates should submit a CV with publications, contact details for referees, and a brief summary of past accomplishments via the application portal.
Funding details
Available
What's required
Applicants must hold a PhD in Computational Biology, Bioinformatics, Computer Science, Mathematics, Biomedical Sciences, or a closely related field. Experience with single-cell and/or spatial omics technologies is required, along with a strong background in computational data analysis and a solid understanding of biological and biomedical concepts. Expertise in machine learning, AI, or statistical modeling applied to biological data is required, as is proficiency in scientific computing frameworks. The ideal candidate should demonstrate strong analytical thinking, problem-solving ability, and communication skills, and be able to work independently while contributing effectively to collaborative projects. Familiarity with neurobiology, immunology, or cancer biology datasets is desirable but not required.
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Professors
Professor
Switzerland
Research Interests
Neuropsychology
Immunology
Biology
Medical Science
Computational Biology
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.