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 68 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!
The position is available from Q4 2026 or upon agreement. Salary is according to SNSF guidelines.
Your responsibilities
• Analysis and integration of single-cell multi-omics data (e.g. scRNA-seq, scATAC-seq, multiome)
• Development and implementation of computational pipelines for large-scale data processing
• Application of trajectory inference, lineage tracing, and regulatory network analysis
• Integration of transcriptomic, epigenomic, and proteomic datasets
• Collaboration with experimental researchers to translate computational findings into biological insights
• Contribution to method development and data-driven hypothesis generation
Your profile
• PhD in bioinformatics, systems & computational biology, or related field
• Strong experience in single-cell data analysis
• Proficiency in R and/or Python and relevant bioinformatics frameworks
• Experience with multi-omics integration and/or regulatory network analysis is highly desirable
• Familiarity with high-performance computing environments and workflow systems (e.g. Snakemake, Nextflow)
• Strong analytical skills and ability to work independently
• Interest in immunology or cancer biology is a plus
• Excellent communication skills and fluency in English
We offer you
- A highly innovative and interdisciplinary research project
• Access to state-of-the-art technologies and datasets
• A collaborative environment bridging computational and experimental biology
• Close interaction with clinical and translational research programs
• Strong national and international collaborations
• Excellent opportunities for scientific and career development
Application
Applications should include:
• CV
• Short statement of research interests
• Publication list
• Contact details of at least two referees