Study coordinator

Support Scientific Project Work within CEREBRIS: Support acquisition and analysis of multimodal data (EEG, fNIRS, MRI, CT, motion capture, clinical scores), Support development and validation of neurophysiological markers in alignment with imaging-derived biomarkers, Support conducting bias and fairness analyses for AI-based biomarkers, Support contributing to the development of clinically deployable AI by benchmarking against validation frameworks, Support the implementation of ISO 9241-210–conformant usability studies (dashboards, ePRO/eCRF) Clinical Trial Coordination and Data Management: Recruitment and clinical management of stroke patients, Obtaining informed consent (German required, swiss german is an advantage), REDCap database management, Study logistics, SOP implementation, monitoring support, Ensuring data quality and regulatory compliance, Main contact point for clinical trial center Support Scientific Publication and Dissemination: Support publishing in high-impact international journals, Support presenting at national and international conferences, Support preparing reports for project partners and funding agencies Support Health Technology Assessment & Translation: Contributing to early-HTA micro-scenarios, Supporting development of modelling cost–benefit scenarios within the Swiss healthcare system, Supporting payer and stakeholder briefings

The University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education.

• Completed Master's degree (MSc) in Biomedicine, Neuroscience, Biomedical Engineering, Psychology, Data Science, Physio-or Occupational Therapy or related field

• Solid knowledge of trial management

• Knowledge of statistics and study design

• Basic experience in Python

• Strong knowledge with REDCap or comparable systems

• Knowledge of clinical workflows and processes

• Experience in conducting clinical trials and patient recruitment mandatory

• Basic knowledge of neuroimaging or motion capture is an advantage

• Professional Responsibility: Independent planning and execution of defined study modules, Responsibility for data integrity, support development of methodological standards for translational AI in stroke

• Financial Responsibility: No budget responsibility, Resource planning within allocated project funding

• Collaboration: Close cooperation with Postdoc, project leadership, and international consortium partners; Collaboration with neurology, radiology, and neurophysiology departments; Interaction with data scientists and industry partners

• Reporting Duties: Regular reporting to project leadership Documentation according to GCP standards