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Research Assistant in Experimental and Computational Biology

Eckdaten

Hochschule
Uni Zürich
Website
uzh.ch ↗
Standort
Zürich
Stellenart
Wissenschaftlicher Mitarbeiter
Anstellungsart
Teilzeit
Befristung
Befristet
Bewerbungsfrist
22.12.2026
Fachgebiete
Bioinformatik, Biologie, Informatik, Naturwissenschaft

Über die Stelle

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. Find out more about UZH as an employer!

Aufgaben

  • Contribute to experimental work and microscopy-based measurements of 3D structures using spinning disc confocal and light sheet microscopy for fixed multiplexed and live-imaging datasets.
  • Analyse multiplexed measurements and integrate imaging-derived features to investigate cellular behaviour.
  • Process light-sheet microscopy data and apply workflows for tracking cells in live-imaging datasets.
  • Apply computational methods, including machine learning where appropriate, to identify patterns and extract biological insights.
  • Perform data quality control, statistical analysis and visualisation.
  • Work closely with experimental and computational researchers and document experiments, code, methods and results.

Anforderungen

  • MSc degree in cell biology, developmental biology, engineering or a related discipline, with a combination of experimental and computational experience.
  • Python coding experience and the ability to develop and adapt scripts for scientific data analysis.
  • Knowledge of microscopy and image analysis, with the ability to connect experimental measurements to quantitative biological questions.
  • Experience with quantitative data analysis and an interest in reproducible computational workflows.
  • Experience working with embryos is an advantage. Familiarity with light-sheet microscopy, cell tracking, multiplexed measurements or large volumetric datasets is also welcome.
  • Strong communication skills, fluency in English, and the ability to work independently and collaborate across disciplines.

Ausbildung

University

Benefits

Our employees benefit from a wide range of attractive offers. Find out more: https://www.uzh.ch/de/explore/work.html.

Kontakt

Dr. Shayan Shamipour
SNF Ambizione Fellow
+41782442377
Dr. Shayan Shamipour

Um dich für diesen Job zu bewerben, besuche bitte jobs.uzh.ch.

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