Clinical Data and Trial Lead 80 - 100 % (w/m/d)

Liechtenstein Business; Schweiz; Hybrid; EUR 116.000 - 158.000; Vollzeit

Zusammenfassung

Hamilton Medical is seeking a Medical Research Engineer to develop and maintain data management tools, analyze clinical study data, and collaborate with medical experts to publish research findings. You will handle data acquisition, quality checks, and analysis for trials in critical care contexts.

The role involves developing eCRFs and databases, coordinating across sites and CROs, and ensuring regulatory compliance. English proficiency is required; travel up to 10% is expected.

Qualifikationen

• Master's degree in a relevant engineering, scientific, biomedical, statistics, data science, or related field.
• Strong programming skills in MATLAB and Python (experience in C++, C#, or C is a plus).
• Experience with medical device data, physiological signals, or time-series data in clinical/research settings.

Aufgaben

• Implement data management tools and automated workflow for clinical and medical device data.
• Process and analyze medical device data, physiological signals, and time-series data.
• Conduct exploratory data analyses and software-based analyses of clinical study data.
• Develop, implement, test, and validate electronic case report forms (eCRFs) and clinical databases.
• Perform ongoing clinical data review, data cleaning, and reconciliation activities.
• Coordinate and support clinical studies across study lifecycle.
• Support clinical project planning, timelines, budgets, and risk management.
• Act as a key contact for investigators, sites, CROs, EDC providers, and internal teams.

Kenntnisse

MATLAB

Python

English fluency

German language (plus)

Ausbildung

Master's degree in engineering/science/biomedical/data science

Tools

PDMS

eCRF development tools

Jobbeschreibung

For more than 40 years, Hamilton Medical has shaped the future of mechanical ventilation. We develop Intelligent Ventilation solutions that support clinicians in critical moments.Our Hamilton ventilators are used in intensive care units, during emergency transport, and in MRI environments. They help medical teams care for adult, pediatric, and neonatal patients worldwide.Here, your work has real impact. Every improvement you make supports better respiratory care for patients around the globe.

How you can make a difference

Join our Clinical Research and Innovation team and contribute to clinical trials that shape the future of mechanical ventilation technology. As a Medical Research Engineer, you will play a key role in developing and maintaining data management tools, analyzing clinical study data, and collaborating with medical experts to generate valuable research insights and scientific publications.

Your Responsibilities

• Implement data management tools and automated workflow for clinical and medical device data, including data transfer, storage, conversion, anonymization, cleaning, quality validation, and filtering.
• Process and analyze medical device data, physiological signals, and time-series data to generate reliable, analysis-ready datasets.
• Conduct exploratory data analyses and perform software-based analyses of clinical study data to evaluate research hypotheses and support study reports, regulatory submissions, and scientific publications.
• Develop, implement, test, and validate electronic case report forms (eCRFs), clinical databases, including edit checks, and data review tools.
• Perform ongoing clinical data review, identify inconsistencies and missing data, and support edit checks, query management, reconciliation, and database cleaning activities.
• Coordinate and support clinical studies throughout the study lifecycle, including feasibility assessments, study start-up, site initiation, study conduct, close-out, and database lock.
• Support clinical project planning and tracking to ensure that study timelines, milestones, budgets, deliverables, quality objectives, and risks are effectively managed.
• Act as a key contact for investigators, study sites, CROs, EDC providers, external partners, and internal stakeholders (Regulatory and Clinical Affairs, Medical Experts, Engineering), ensuring clear communication, effective networking, and timely issue resolution.

That’s what you bring along

• Master’s degree in a relevant engineering, scientific, biomedical, statistics, data science, or related field.
• Strong programming skills in MATLAB and Python (experience in C++, C#, or C is a plus).
• Experience working with medical device data, physiological signals, or time-series data, including data acquisition, processing, quality assessment, and interpretation in a clinical or research setting. Familiarity with acute-care workflows, PDMS, and bedside device data integration is a plus.
• At least two years of hands-on experience in clinical studies, clinical data management (data review and query management), or clinical database development (eCRF design and testing).

• Experience working with clinical study teams, investigators, study sites, CROs, EDC providers, or other external clinical partners. Familiarity with electronic Case Report Form (eCRF) development, programming, and testing is a plus.

• Knowledge of clinical trial regulations (e.g., ISO 14155, GCP, MDR, FDA) and regulatory requirements for clinical data management incl. data protection regulations (GDPR, HIPAA).

• Strong project management and organizational skills, with the ability to manage technical and clinical workstreams, deadlines, risks, and multiple priorities.
• Excellent communication and stakeholder management skills, with the ability to build effective relationships across technical, clinical, cross-functional, and international teams.
• High attention to detail and a strong commitment to data integrity, quality, regulatory compliance, and reproducible analysis. Background in statistical analysis and data interpretation for clinical research is a plus.
• Fluent in English, with strong documentation, presentation, and reporting skills. German is a plus.
• Self-motivated and proactive team player with the ability to work independently.
• Willingness to travel internationally up to 10%.