Summary
The Dixon Lab (Cancer Neuroimmunology) at the University of Basel’s Department of Biomedicine (DBM) is seeking a highly motivated research fellow for a fully funded postdoctoral position. This role focuses on studying neuro-immune interactions in cancer, specifically understanding the complex innervation landscape of peripheral tumors and its role in immuno-oncology. The research is highly interdisciplinary, intersecting tumor biology, immunology, and neuroscience with a strong emphasis on rigorous computational analysis of single-cell and spatial omics approaches.
Postdoctoral Fellow/Staff Scientist – Computational Biology, University of Basel, Switzerland
Job Overview
| Category | Details |
| Designation | Staff Scientist / Postdoctoral Fellow |
| Research Area | Computational Biology, Cancer Neuroimmunology, Single-cell and Spatial Omics |
| Location | Department of Biomedicine (DBM), University of Basel, Basel, Switzerland |
| Last Date to Apply | Not specified (Apply as soon as possible) |
Job Description
The successful candidate will play a central role in the design, analysis, and interpretation of computational and single-cell biology projects, ensuring high methodological standards, reproducibility, and robust analytical workflows. Responsibilities include:
- Leading computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets.
- Developing and maintaining reproducible, well-documented analysis pipelines.
- Applying and adapting machine learning and AI approaches to biological questions.
- Collaborating closely with experimental scientists to guide study design and data interpretation.
- Contributing to grant writing and shaping the lab’s computational strategy.
- Mentoring and advising PhD students and postdoctoral researchers.
- Publishing first-author manuscripts and presenting work at international conferences.
Eligibility / Qualification
Required Qualifications:
- Education: PhD in Computational Biology, Bioinformatics, Computer Science, Mathematics, Biomedical Sciences, or a closely related field.
- Experience: Experience with single-cell and/or spatial omics technologies.
- Skills: Strong background in computational data analysis with a solid understanding of biological and biomedical concepts. Expertise in machine learning, AI, or statistical modeling applied to biological data.
- Technical: Proficiency in scientific computing frameworks.
- Soft Skills: Strong analytical thinking, problem-solving ability, and communication skills. Demonstrated ability to work independently while contributing effectively to collaborative projects.
Desirable (but not required):
- Familiarity with neurobiology, immunology, or cancer biology datasets.
How to Apply
Interested candidates should prepare the following documents:
- Curriculum Vitae (CV), including a list of publications.
- References: Contact details for individuals who can provide recommendation letters upon request.
- Accomplishment Summary: A summary of past accomplishments (maximum 2 pages).
Applications should be submitted directly through the University of Basel Application Portal.
