Biomedical Data Scientist – SCI Longitudinal Analytics

ETH Zürich; Zürich; Vor Ort; CHF 85.000 - 120.000; Vollzeit

Benefits dieser Stelle

Interdisciplinary team

International collaboration

Location Schlieren

Zusammenfassung

ETH Zurich invites a Scientific Assistant to join the Biomedical Data Science Lab in Schlieren, Zurich. The role focuses on statistical and ML analyses for EMSCI and SCI databases, developing predictive models for neurological recovery, and ensuring rigorous, reproducible workflows in R or Python.

You will collaborate with clinicians, researchers, and international partners, support publications and grant activities, and help coordinate meetings and projects while contributing to a diverse,

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 visualisation, and reproducible research.
• Familiarity with machine-learning methods such as random forests, gradient boosting, neural networks, or related approaches.
• Previous experience with EMSCI data or large SCI datasets is desirable.
• Knowledge of SCI-specific clinical/neurological outcome measures is an advantage.

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, agendas, materials, communication, and follow-up.
• Assist with coordination of ongoing collaborative projects and deliverables.

Kenntnisse

Statistics

Machine Learning

Biostatistics

Longitudinal data analysis

Python

R

Data visualization

Reproducible research

Ausbildung

MSc in statistics/biostatistics/data science/related

Tools

R

Python

Jupyter

Jobbeschreibung

ETH Zurich invites a Scientific Assistant to join the Biomedical Data Science Lab in Schlieren, Zurich. The role focuses on statistical and ML analyses for EMSCI and SCI databases, developing predictive models for neurological recovery, and ensuring rigorous, reproducible workflows in R or Python.

You will collaborate with clinicians, researchers, and international partners, support publications and grant activities, and help coordinate meetings and projects while contributing to a diverse,