Biomedical Data Science Assistant for SCI Research

1000scholars; Zürich; On-site; CHF 90,000 - 130,000; Full time

Benefits offered by this job

80-100% position

EMSCI data access

Interdisciplinary environment

Publication opportunities

International collaboration

Lab in Schlieren

ETH Zurich environment

Job summary

ETH Zurich is seeking a Scientific Assistant to support data‑intensive biomedical imaging and clinical research projects, focusing on EMSCI datasets and pediatric SCI applications. The role blends hands‑on analyses with scientific coordination and collaboration across international teams.

You will work with clinicians and researchers to analyze longitudinal data, develop predictive models, and contribute to publications, while coordinating meetings and activities within a multidisciplinary

Qualifications

• 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.

Responsibilities

• 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.

Skills

Statistics

Machine learning

Longitudinal data

R/Python

ML methods

EMSCI data

English

German

Education

MSc or equivalent

Tools

R

Python

Job description

ETH Zurich is seeking a Scientific Assistant to support data‑intensive biomedical imaging and clinical research projects, focusing on EMSCI datasets and pediatric SCI applications. The role blends hands‑on analyses with scientific coordination and collaboration across international teams.

You will work with clinicians and researchers to analyze longitudinal data, develop predictive models, and contribute to publications, while coordinating meetings and activities within a multidisciplinary