↳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 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.
↳Excellent organisational and communication skills.
↳Ability to work independently and reliably while collaborating effectively in a multidisciplinary and international research environment.
↳Interest in SCI research and the application of data science to clinical research.
