Summary
The Dixon Lab (Cancer Neuroimmunology), based within the Department of Biomedicine (DBM) at the University of Basel, is inviting applications for a fully funded postdoctoral position. The position focuses on investigating complex neuro-immune interactions in cancer by applying single-cell and spatial omics, machine learning, and advanced computational biology approaches within an interdisciplinary environment.
Staff Scientist / Postdoctoral Fellow – Computational Biology, University of Basel, Switzerland
Designation
Staff Scientist / Postdoctoral Fellow
Job Overview
| Category | Details |
| Job Title | Staff Scientist / Postdoctoral Fellow – Computational Biology |
| Host Institution | Department of Biomedicine (DBM), University of Basel |
| Research Group | Dixon Lab (Cancer Neuroimmunology, led by Prof. Karen Dixon) |
| Location | Basel, Switzerland |
| Funding Status | Fully Funded |
| Primary Domain | Computational Biology, Immuno-Oncology, Single-Cell & Spatial Omics |
Research Area
Computational mapping of neuro-immune interactions in cancer using single-cell and spatial omics.
- Neuro-Immune Interactions in Cancer: Uncovering the innervation landscape of peripheral tumors and its role in immuno-oncology and anti-tumor immunity.
- Cellular & Molecular Networks: Utilizing single-cell, spatial transcriptomics, and multi-omics datasets to analyze biological networks underlying tissue homeostasis and disease.
- Interdisciplinary Integration: Bridging tumor biology, immunology, neuroscience, and computational data science.
Location
Basel, Switzerland (Department of Biomedicine, University of Basel)
Eligibility / Qualification
Required Qualifications
- Education: PhD in Computational Biology, Bioinformatics, Computer Science, Mathematics, Biomedical Sciences, or a closely related field.
- Technical Expertise: Experience with single-cell and/or spatial omics technologies.
- Data Analysis: Strong background in computational data analysis alongside a solid understanding of biological and biomedical concepts.
- Machine Learning & AI: Demonstrated expertise in machine learning, AI, or statistical modeling applied to biological data.
- Computing: Proficiency in scientific computing frameworks.
- Key Competencies: Strong analytical thinking, problem-solving skills, excellent communication, and the ability to work independently as well as collaboratively.
Desirable Qualifications
- Familiarity with neurobiology, immunology, or cancer biology datasets.
Job Description
- Lead computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets.
- Build and maintain reproducible, well-documented data analysis pipelines.
- Apply and adapt machine learning and AI tools to answer complex biological questions.
- Work closely with experimental scientists to guide study designs and interpret findings.
- Assist with grant writing and contribute to shaping the laboratory’s computational strategy.
- Mentor and advise PhD students and junior postdoctoral researchers.
- Publish first-author manuscripts and present research outcomes at international conferences.
How to Apply
Interested applicants should submit the following documents:
- Curriculum Vitae (CV) including a full list of publications.
- Contact Details of references who can provide recommendation letters upon request.
- Summary of Past Accomplishments (maximum of 2 pages).
Applications can be submitted directly via the University of Basel Job Portal.
Last Date for Apply
Open Now
