Bioimage Analyst — Universität Zürich
- Location
- Zürich
- Contract
- full-time
- Posted
- 54 days ago
Role overview
The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields.
With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education.
Put your talent and skills to work with us.
- The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields.
- With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education.
- Our employees benefit from a wide range of attractive offers.
- Find out more: https://www.uzh.ch/de/explore/work.html.
What the company offers
- Our employees benefit from a wide range of attractive offers.
- Find out more: https://www.uzh.ch/de/explore/work.html.
Application process
- validate the pipeline on biological applications, in close collaboration with UZH researchers
- produce high-quality documentation, tutorials, and training materials to ensure the uptake of these tools by the UZH research community
- contribute to the scientific dissemination of the work through publications, presentations, and community engagement within the Fractal and OME-Zarr ecosystems Anforderungen:
- We are looking for a motivated scientist with strong computational skills and a genuine interest in bridging advanced image analysis and biology.
- Furthermore, you should bring the following qualifications:
- a master's degree or PhD in computational biology, bioinformatics, computer science, biomedical engineering, physics, or a related field
- strong programming skills in Python, including experience with scientific libraries for image analysis (e.g. scikit-image, numpy, dask) and familiarity with version control (Git)
- experience with bioimage analysis, ideally including AI-based segmentation methods
Additional details
- Find out more about UZH as an employer! The successful candidate will:
- contribute to the scientific dissemination of the work through publications, presentations, and community engagement within the Fractal and OME-Zarr ecosystems
Notes and original content
- Find out more about UZH as an employer!
- The successful candidate will:
- Anforderungen:
- Wir bieten:
Questions about this listing
What salary does Universität Zürich offer for this role?
Universität Zürich lists CHF 73'500 - 111'500 gross per year for this position in Zürich. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does Universität Zürich offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with Universität Zürich during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Zürich?
EU/EFTA residents living in the border zone of the country adjoining Canton Zürich can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Zürich's cantonal migration office or with HR during the application.
How do I apply for this position at Universität Zürich?
Use the "Apply now" button on this page — it links directly to Universität Zürich's original listing at jobs.uzh.ch, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.
