Fully Funded Postdoc: Single-Cell & Spatial Omics Scientist

Universität Basel; Basel-Landschaft; Vor Ort; CHF 72.000 - 90.000; Vollzeit

Benefits dieser Stelle

Interdisciplinary research environment

Career development support

Mentorship and collaboration

Zusammenfassung

The Dixon Lab at the University of Basel seeks a highly motivated postdoctoral researcher to design, analyze and interpret computational and single-cell biology projects in cancer neuroimmunology.

You will lead analyses of single-cell, spatial transcriptomics, and multi-omics data, develop reproducible pipelines, apply ML/AI methods, and collaborate with experimental scientists to guide study design and interpretation.

Qualifikationen

• PhD required in a relevant field and strong background in computational biology.
• Experience with single-cell and/or spatial omics technologies.
• Strong background in data analysis and statistical modeling.
• Proficiency in ML/AI applications to biological data.
• Proficiency in scientific computing frameworks and coding.
• Excellent communication and collaboration skills.

Aufgaben

• Lead computational analyses of single-cell, spatial transcriptomics, and multi-omics datasets.
• Develop and maintain reproducible, well-documented analysis pipelines.
• Apply and adapt machine learning approaches to biological questions.
• Collaborate with experimental scientists to guide study design and interpretation.
• Contribute to grant writing and strategic lab planning.
• Mentor PhD students and postdocs and publish first-author work.

Kenntnisse

Single-cell technologies

Spatial omics

Computational data analysis

Machine learning / AI

Scientific computing

Analytical thinking

Independent work / teamwork

Ausbildung

PhD in Computational Biology, Bioinformatics, CS, Math, Biomedical Sciences or related

Jobbeschreibung

The Dixon Lab at the University of Basel seeks a highly motivated postdoctoral researcher to design, analyze and interpret computational and single-cell biology projects in cancer neuroimmunology.

You will lead analyses of single-cell, spatial transcriptomics, and multi-omics data, develop reproducible pipelines, apply ML/AI methods, and collaborate with experimental scientists to guide study design and interpretation.