Your Role

• Develop and evaluate computational models for organoid development, morphology, growth, and response to external stimuli 

• Analyze multimodal biological data, including microscopy images, time-lapse recordings, and potentially molecular or experimental metadata 

• Design, conduct, and evaluate experiments using simulated and real-world datasets 

• Investigate existing approaches in scientific literature and adapt them to ZEISS-specific applications 

• Support the integration of data-driven and mechanistic modelling approaches for improved interpretability and predictive performance 

• Communicate results clearly and contribute to scientific discussions within an interdisciplinary team 

Your Profile

• A bachelor’s degree and current enrolment in a master’s program in computer science, bioinformatics, computational biology, physics, mathematics, engineering, or a related discipline 

• Proficiency in Python for scientific computing, data analysis, statistical modelling, and machine-learning workflows, with the ability to critically evaluate and adapt AI-assisted code. 

• Ideally, experience in image analysis, computer vision, microscopy, or time-series data analysis 

• Ideally, knowledge of computational modelling, systems biology, quantitative biology, or organoids 

• An interest in virtual cells, digital twins, and the simulation of complex biological systems 

• Excellent organizational, problem-solving, and communication skills 

• Fluent English; knowledge of German is an advantage 

Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.).

Your ZEISS Recruiting Team:

Falk Dymke