Postdoctoral Fellow - Computational Biology (100%)
Postdoctoral Fellow - Computational Biology (100%)
Postdoctoral Fellow - Computational Biology (100%)
Postdoctoral Fellow - Computational Biology (100%)
Universität Basel
Sonstige Branchen
Basel
- Art der Beschäftigung: Vollzeit
- 100.000 CHF – 139.500 CHF (von XING geschätzt)
- Vor Ort
- Aktiv auf der Suche
Postdoctoral Fellow - Computational Biology (100%)
Über diesen Job
Postdoctoral Fellow - Computational Biology (100%)
The Department of Biomedicine is a joint effort between the University of Basel and the University Hospitals Basel. It unites basic and clinical scientists to advance our understanding of health and disease and to develop pioneering therapies benefiting the lives of patients in areas of unmet need.
With more than 70 research groups and 800 employees, the Department of Biomedicine is the largest department at the University. We are located in the heart of Basel at 6 different locations. Be part of our future!
Your position
The Dixon Lab at University of Basel is seeking a highly motivated research fellow to study neuro-immune interactions in cancer. The role of intra-tumoral neurons is complex and still not fully understood. While some studies suggest they play a critical role in tumor progression and metastasis, others report that they may contribute to anti-tumor immunity. Our lab is dedicated to understanding the innervation landscape of peripheral tumors and its role in immuno-oncology.We are particularly interested in candidates with experience analyzing cellular and molecular networks underlying tissue homeostasis and disease, especially using single-cell and spatial omics approaches. Our research is highly interdisciplinary, interfacing tumor biology, immunology, and neuroscience, with a strong emphasis on rigorous computational analysis.
Role and Responsibilities
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
Your profile
- PhD in Computational Biology, Bioinformatics, Computer Science, Mathematics, Biomedical Sciences, or a closely related field
- 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
- Experience with genomics, transcriptomics, single-cell and/or spatial omics technologies
- Proficiency in scientific computing frameworks
- 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
We offer you
A stimulating, interdisciplinary research environment focused on neuro-immunology in cancer- A dynamic and international team with a strong culture of collaboration and mutual support
- Close interaction with neighboring labs in neuroscience, immunology, oncology, and cancer immunology
- Strong mentorship, including career development support and guidance toward independent research careers
- Intellectual freedom to develop computational methods and scientific ideas
- Competitive academic environment at the University of Basel
Application
Please use the link below to apply and submit the following documents: I. curriculum vitae II. brief summary of past accomplishments (max 2 pages) III. contact details for 3 individuals who can provide recommendation letters upon request.
The position is available immediately and will remain open until filled by suitable candidate.
Please use the link below to apply and submit the following documents: I. curriculum vitae II. brief summary of past accomplishments (max 2 pages) III. contact details for 3 individuals who can provide recommendation letters upon request.
The position is available immediately and will remain open until filled by suitable candidate.
Gehalts-Prognose
Unternehmens-Details
Universität Basel
Sonstige Branchen