Clinical Data and Trial Lead 80 - 100 %

Hamilton Medical AG

Ems

Vor Ort

CHF 110.000 - 170.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden
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Zusammenfassung

Hamilton Medical AG is seeking a Medical Research Engineer to join the Clinical Research and Innovation team. You will develop and maintain data management tools, analyze clinical study data, and collaborate with medical experts to generate research insights and publications.

The role involves data transfer, storage, anonymization, and quality validation across devices and signals. You will coordinate with investigators, sites, CROs, and internal stakeholders to ensure timely issue resolution

Qualifikationen

  • Master's degree in a relevant engineering, scientific, biomedical, statistics, data science, or related field.
  • Strong programming in MATLAB; experience with C++, C#, or similar is a plus.
  • Experience working with medical device data, physiological signals, or time-series data in clinical or research settings.
  • At least two years of hands-on experience in clinical studies, clinical data management, or clinical database development (eCRF design/testing).
  • Knowledge of clinical trial regulations (ISO 14155, GCP, MDR, FDA) and data protection (GDPR/HIPAA).
  • Excellent communication and stakeholder management in international teams.

Aufgaben

  • Implement data management tools and automated workflow for clinical and device data (transfer, storage, anonymization, cleaning).
  • Process and analyze medical device data and time-series data to create analysis-ready datasets.
  • Conduct exploratory data analyses and software-based analyses to support study reports, regulatory submissions, and publications.
  • Develop and validate electronic case report forms (eCRFs) and clinical databases with edit checks and data review tools.
  • Coordinate and support clinical studies across lifecycle: feasibility, start-up, site initiation, conduct, close-out, and database lock.
  • Support project planning to manage timelines, budgets, quality objectives, and risks.

Kenntnisse

MATLAB
C/C++
Clinical data mgmt
Project management
English fluent

Ausbildung

Master's degree in engineering/biomed/data science

Tools

EDC systems
PDMS
SQL

Jobbeschreibung

Clinical Data and Trial Lead 80 - 100 %

Hamilton Medical AG Vacant since: 30.09.2026 7013 Domat/Ems (GR) 80% - 100% By agreement Permanent

For more than 40 years, Medical has shaped the future of mechanical ventilation. We develop Intelligent Ventilation solutions that support clinicians in critical moments.

Our 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 (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. is a plus.

  • Self‑motivated and proactive team player with the ability to work independently.

  • Willingness to travel internationally up to 10%.

  • Work location 7013 Domat/Ems (GR)
  • Workload 80% - 100%
  • Employment start By agreement
  • Employment duration Permanent
  • By online Online form
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