Data Science Expert in Bioimage Analysis

vor 1 Tag


Basel, Basel-Stadt, Schweiz Roche Vollzeit
Role Overview

We are seeking a highly skilled Data Science Expert in Bioimage Analysis to join our team at the Institute of Human Biology (IHB). As a member of our team, you will collaborate with scientists to design and implement state-of-the-art image processing algorithms that enable the processing of terabytes of 3D imaging data using high-performance computing infrastructure. Your primary responsibility will be to develop and maintain computational pipelines for analyzing 3D imaging data.

In addition to this primary responsibility, you will work closely with the digital IHB (D-IHB) team to shape the digital infrastructure for data integration, processing, visualization, and analysis. You will also collaborate with the BioVisionCenter (BVC) at the University of Zurich (UZH) to support the development of a common open-source software project aimed at advancing research in computer vision and promoting interdisciplinary collaboration.

- Design and implement analytical workflows integrating quantitative imaging with high-dimensional data, such as spatial omics and single-cell sequencing.

- Provide guidance and templates for image analysis best practices, including reproducible processing pipelines.

- Disseminate knowledge to IHB members and host workshops on data analysis topics, including machine learning and mathematical modeling approaches.

- Stay updated on the latest bioimage analysis tools and methodologies, providing these as well-packaged and tested components of our imaging framework.

Requirements

- Advanced degree in bioinformatics, computer science, mathematics, or a related field with a validated academic track record in the bioimaging space.

- Solid understanding of the bioimage analysis field, familiarity with the latest developments, and experience with image processing methods on biological datasets, emphasizing microscopy.

- Proficiency in Python and software engineering tools and methods, including source control, CI/CD, containerization, and software packaging.

- Experience designing scalable solutions leveraging high-performance computing or cloud environments.

- Background in exploratory data analysis, statistics methodology, and tools, along with knowledge of deep learning and classical machine learning methods.

- Excellent communication skills with high proficiency in English, ability to continuously build personal networks, and thrive in a dynamic, inclusive environment that offers full accountability for individual contributions and development.

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