Multimodal Bioimage Analysis Research Assistant
Vor 2 Tagen
At Roche, we foster diversity, equity, and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success.
We believe that inclusion is key to understanding people's varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care.
About the PositionThe Developmental Systems and Computational Biology group led by Gray Camp at the Institute of Human Biology (IHB) at Roche in Basel, Switzerland, is hosting an internship position for a talented researcher to advance integrative multimodal data analysis.
The main involvement will be working within a small team to support large-scale bioimage analysis of complex human model system data using Python, NumPy, Scikit-image, Scikit-learn, SciPy, Pandas, and Anndata.
- You are currently enrolled in a university (B.Sc. or M.Sc. program) in relevant subjects such as bioinformatics, computer science, biotechnology, or related fields, or you have completed your degree within the past 12 months.
- Strong coding skills in Python, being familiar with scientific libraries: NumPy, Scikit-image, Scikit-learn, SciPy, Pandas, and Anndata.
- Knowledge with deep learning libraries like Keras, TensorFlow, or PyTorch are a plus.
- R coding skills and being familiar with the Tidyverse, especially Ggplot and Dplyr, are seen as a plus.
- Experience in microscopy image analysis frameworks, viewer tools (e.g., Napari), and high-performance computing environments.
We offer 100% employment, starting as soon as possible, with a duration of 6–12 months. The location is Basel, Switzerland.
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