Spatial / Single Cell Genomics Expert

Karlstad University; Zürich; Vor Ort; CHF 59.968 - 78.420; Vollzeit

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 well known for its excellent education, ground‑breaking fundamental research and for implementing its results directly into practice.

The Genomics Facility Basel (GFB) is a central academic technology platform jointly operated by the University of Basel and the Department of Biosystems Science and Engineering (D‑BSSE) of ETH Zurich. The facility supports cutting‑edge life science research across campus boundaries and provides services and expertise to associated institutions, including the Botnar Institute of Immune Engineering (BIIE), as well as external academic and industrial partners.

Project background

GFB offers access to state‑of‑the‑art genomics technologies and actively drives innovation in next-generation sequencing, single-cell and spatial genomics, and emerging multi-omics approaches. To strengthen our R&D and user support activities, we are seeking a highly motivated PhD-level Application Scientist to join our team.

• Evaluation, implementation, and benchmarking of emerging genomics technologies within an academic core facility environment
• Scientific and technical support of user projects, including experimental design, method selection, and troubleshooting, in close collaboration with researchers from the University of Basel, ETH Zurich, and associated institutes
• Research and development of novel workflows, with a strong focus on establishing scalable, robust, and high‑throughput approaches in:
  • Library preparation technologies
  • Single‑cell sequencing
  • Spatial transcriptomics
  • Multi‑omics strategies
• Optimization, validation, and documentation of methods and standard operating procedures (SOPs)
• Active participation in internal R&D projects, technology pilots, and collaborative research initiatives
• Communication of new technologies and results through user consultations, training sessions, presentations, and written documentation

Profile

• PhD in biology, molecular biology, genomics, bioengineering, or a related life science discipline
• Strong hands‑on experience with modern genomics and molecular biology techniques, particularly next‑generation sequencing
• Demonstrated experience in one or more of the following areas:
  • Single‑cell genomics
  • Spatial transcriptomics
  • Multi‑omics workflows
  • High‑throughput library preparation methods
• A strong academic mindset with curiosity for technology development and method optimization
• Ability to work independently while contributing effectively within a collaborative, service‑oriented academic environment
• Committed to excellence within a collaborative team, focusing on shared success and high‑quality service delivery in an academic setting
• Excellent organizational, analytical, and problem‑solving skills
• Practical experience in working in an NGS core facility is an advantage
• Fluent oral and written communication skills in English are essential

We offer

• An intellectually stimulating position within a leading academic technology platform at the interface of research, service, and innovation
• The opportunity to actively shape and establish new genomics technologies and workflows
• Daily interaction with a diverse and highly interdisciplinary research community
• Access to state‑of‑the‑art instrumentation and evolving genomics platforms
• Attractive employment conditions and opportunities for professional development
• A workplace in Basel, a major international hub for life sciences and biomedical research

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate‑neutral future.

Curious? So are we.

We look forward to receiving your online application with the following documents:

• A motivation letter outlining your interest in genomics technologies and academic service platforms
• Contact information for referees (or reference letters, if available)/work certificates

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

Further information about the Genomics Facility Basel can be found on our website. Questions regarding the position should be directed to Dr. Christian Beisel: [e-mail] (no applications).

We would like to point out that the pre‑selection is carried out by the responsible recruiters and not by artificial intelligence.