Scientific Assistant for Biomedical Data Science

The Biomedical Data Science Lab investigates data-driven solutions for healthcare applications with a focus on neurological conditions and systemic infections such as sepsis. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer, and data science. We seek a motivated scientific assistant to join this growing team and contribute to interdisciplinary research partnerships. The anticipated start date is January 2025.

The Biomedical Data Science Lab at ETH Zurich invites applications for a Scientific Assistant to support our data-intensive projects in biomedical imaging and clinical research. This position offers an excellent opportunity to work at the forefront of biomedical data science, contributing to key projects including data curation, image segmentation, and tool development for clinical research applications. The scientific assistant will support the Biomedical Data Science Team for a range of application projects, with a particular focus on our work in pediatric sepsis, lower back pain, and pediatric neurooncology.

Your key responsibilities will include:

• Data Curation & Cleaning: Assist in the curation, cleaning, and harmonization of biomedical datasets.
• Spine MRI Segmentation Harmonization: Standardize data structures, harmonize annotations, and support data preprocessing for publication potential.
• Pediatric Brain Tumor MRI Analysis: Coordinate data transfers, select high-quality scans, and perform (manual) image segmentation.
• Dashboard & Simulation Tool Development: Collaborate on tools for pediatric sepsis with omics data and dashboard visualizations.
• Support the installation and configuration of scientific software tools (e.g annotation tools), ensuring integration into research workflows.  
• Communicate with clinical experts regarding the requirements for data preparation and feature extraction

• You have a Masters degree in a relevant field such as data science, computer science, medicine, physics and/or biomedical research 
• You are ideally proficient in python programming with some experience for the implementation of machine and deep learning models
• You have experience in software development including collaborative coding, version control and use of compute clusters
• You ideally have a background in biomedical projects with experience in interdisciplinary collaboration
• You are motivated to work as part of a team and strive towards scientific excellence in your field
• You are proficient in English in writing and speaking

We offer a 1-year project-based contract at the BMDS lab, 80-100%, that includes: 

• Opportunities to engage with different communities bridging data science and biomedical research including participation in publications
• You will hone your data science skills and gain insights in the biomedical background of a variety of critical health conditions
• You will be part of a highly motivated, friendly, and collaborative team
• We will support your scientific career and application for doctoral fellowships if desired
• You will be able to learn from experts and the field and be part of an active research lab