Biomedical Data Science Assistant for SCI Research

Academic Positions

Schweiz

Vor Ort

CHF 90.000 - 130.000

Teilzeit

14 Tage+
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Benefits dieser Stelle

80–100% appointment
Collaborative EMSCI projects
Interdisciplinary research

Zusammenfassung

ETH Zurich's Biomedical Data Science Lab invites applications for a Scientific Assistant to support data-intensive biomedical imaging and clinical research projects. You will analyze EMSCI and related SCI datasets, develop predictive models of recovery, and contribute to publications.

The role combines hands-on data analysis with project coordination in a highly interdisciplinary setting, partnering with clinicians, neuroscientists, and data scientists across international teams.

Qualifikationen

  • MSc or equivalent in statistics, biostatistics, data science, biomedical engineering, computer science, epidemiology, neuroscience, or related field.
  • Strong background in statistics and/or machine learning.
  • Experience with longitudinal and/or clinical datasets.
  • 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 organisation and coordination of scientific meetings, workshops, consortium meetings, and other research activities.

Kenntnisse

Statistics & ML
Longitudinal datasets
Python
R
Clinical data analysis
Communication

Ausbildung

MSc in statistics/data science/biomedical engineering/computer science

Tools

Python
R

Jobbeschreibung

ETH Zurich's Biomedical Data Science Lab invites applications for a Scientific Assistant to support data-intensive biomedical imaging and clinical research projects. You will analyze EMSCI and related SCI datasets, develop predictive models of recovery, and contribute to publications.

The role combines hands-on data analysis with project coordination in a highly interdisciplinary setting, partnering with clinicians, neuroscientists, and data scientists across international teams.

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