Spatial & Single-Cell Genomics Scientist

Karlstad University

Zürich

Vor Ort

CHF 59.968 - 78.420

Vollzeit

14 Tage+

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Benefits dieser Stelle

Access to state-of-the-art instrumentation
Opportunities for professional development
Attractive employment conditions

Zusammenfassung

ETH Zürich is seeking a highly motivated PhD-level Application Scientist to join the Genomics Facility Basel. This position involves supporting cutting-edge life science research using advanced genomics technologies.

The successful applicant will work closely with researchers, providing scientific and technical support, and contribute to the development of novel workflows. Ideal candidates should possess a PhD in relevant disciplines and have hands-on experience with next-generation sequencing and related technologies.

Qualifikationen

  • Strong hands-on experience with modern genomics techniques, particularly next-generation sequencing.
  • Ability to work independently while contributing effectively in a collaborative, service-oriented academic environment.
  • Fluent oral and written communication skills in English.

Aufgaben

  • Evaluation, implementation, and benchmarking of emerging genomics technologies.
  • Scientific and technical support of user projects, including experimental design and troubleshooting.
  • Research and development of novel workflows in library preparation and high-throughput approaches.

Kenntnisse

Next-generation sequencing
Single-cell genomics
Spatial transcriptomics
Multi-omics workflows
Library preparation technologies

Ausbildung

PhD in biology, molecular biology, genomics, or a related life science discipline

Jobbeschreibung

ETH Zürich is seeking a highly motivated PhD-level Application Scientist to join the Genomics Facility Basel. This position involves supporting cutting-edge life science research using advanced genomics technologies.

The successful applicant will work closely with researchers, providing scientific and technical support, and contribute to the development of novel workflows. Ideal candidates should possess a PhD in relevant disciplines and have hands-on experience with next-generation sequencing and related technologies.

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