Research Assistant in Experimental and Computational Biology

University of Zurich; Zürich; Vor Ort; CHF 100.000 - 140.000; Vollzeit

Zusammenfassung

The University of Zurich is seeking a highly motivated researcher to contribute to experimental work and microscopy-based measurements of 3D structures using spinning disc confocal and light sheet microscopy. You will analyse multiplexed data, apply workflows for cell tracking, and help derive biological insights from imaging datasets.

We value strong Python coding skills, experience in image analysis, and the ability to communicate across disciplines in English.

Qualifikationen

• MSc degree in cell biology, developmental biology, engineering or a related discipline, with a combination of experimental and computational experience.
• Proficiency in Python coding and developing scripts for scientific data analysis.
• Knowledge of microscopy and image analysis, connecting measurements to quantitative biology questions.
• Experience with quantitative data analysis and an interest in reproducible computational workflows.
• Experience working with embryos is advantageous; familiarity with light-sheet microscopy and large volumetric datasets is welcome.
• Strong communication skills, fluency in English, and the ability to work independently and collaboratively.

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.

Kenntnisse

Python coding

Image analysis

Quantitative analysis

Machine learning

Embryos experience

Ausbildung

MSc in biology/engineering

Tools

Light-sheet microscopy

Spinning disc confocal

Jobbeschreibung

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!

Your responsibilities

• 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.

Your profile

• 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.

Dr. Shayan Shamipour

SNF Ambizione Fellow

[phone]

Dr. Shayan Shamipour