Spinal Cord Injury Data Scientist - Imaging & Analytics

Master in Integrated Building Systems ETH Zürich; Zürich; Vor Ort; CHF 70.000 - 95.000; Teilzeit

Zusammenfassung

The Biomedical Data Science Lab at ETH Zurich invites applications for a Scientific Assistant to support data-intensive projects in biomedical imaging and clinical research. The position offers the opportunity to work at the forefront of biomedical data science, contributing to data curation, image segmentation, and tool development for clinical research applications.

The Scientific Assistant will support the Biomedical Data Science Team with EMSCI data and related SCI datasets, focusing on

Qualifikationen

• 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 visualization, and reproducible research.
• Familiarity with machine-learning methods such as random forests, gradient boosting, neural networks, or related approaches.
• Previous experience working with EMSCI data or other large SCI databases is highly desirable.
• Knowledge of SCI‑specific clinical and neurological outcome measures (e.g., ISNCSCI/ASIA, SCIM) is an advantage.
• Experience working with multicentre clinical datasets is an advantage.
• Fluent in English and proficient in German, both written and spoken.

Aufgaben

• 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 organisation and coordination of scientific meetings, workshops, consortium meetings, and other research activities, including scheduling, preparation of agendas and materials, communication with participants, and follow‑up.
• Assist with the coordination of ongoing collaborative projects and follow‑up of scientific activities and deliverables.

Kenntnisse

Statistics

Machine learning

Longitudinal data

R programming

Python programming

Neuroscience data

Clinical data

Data visualization

Ausbildung

MSc or equivalent in statistics/biostatistics/data science/biomedical engineering/computer science/neuroscience

Tools

R

Python

Jobbeschreibung

The Biomedical Data Science Lab at ETH Zurich invites applications for a Scientific Assistant to support data-intensive projects in biomedical imaging and clinical research. The position offers the opportunity to work at the forefront of biomedical data science, contributing to data curation, image segmentation, and tool development for clinical research applications.

The Scientific Assistant will support the Biomedical Data Science Team with EMSCI data and related SCI datasets, focusing on