Description

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.

Background

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.

Responsibilities

Your key responsibilities will include:

• Conduct statistical and machine-learning analyses using EMSCI and related SCI datasets.
• Develop and validate predictive models of neurological recovery and functional outcomes after SCI.
• Perform data preprocessing, quality control, harmonisation, feature engineering, and exploratory data analysis.
• Apply appropriate statistical methods, including regression, longitudinal data analysis, survival analysis, and machine-learning approaches.
• Develop reproducible analytical workflows in R and/or Python.
• Contribute to scientific publications, reports, presentations, and grant applications.
• Collaborate with clinicians, neuroscientists, statisticians, and data scientists across participating SCI centres.
• Support the organization and coordination of scientific meetings, workshops, consortium meetings, and other research activities.

Profile

• MSc or equivalent degree in statistics, biostatistics, data science, biomedical engineering, computer science, epidemiology, neuroscience, or a related discipline.
• Strong background in statistics and/or machine learning.
• Experience working with longitudinal and/or clinical datasets.
• Strong programming skills in R and/or Python.
• Experience with statistical modelling, data visualisation, and reproducible research.
• Familiarity with machine-learning methods such as random forests, gradient boosting, neural networks.
• Fluent in English and proficient in German, both written and spoken.

Offer

An 80–100% position within the Biomedical Data Science Lab at ETH Zurich, with opportunities for career advancement in a stimulating research environment.