Medical Research Engineer 80 - 100 % (w/m/d)

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:

As a Medical Research Engineer, you join the Clinical Data Science team within Digital Health Solutions, Hamilton Medical's Software as a Medical Device (SaMD) business. Digital Health Solutions develops cloud-based applications including a Clinical Decision Support System (CDSS) for critical care ventilation; our team develops data-driven features and applications for it. You take ownership of your topics in a startup-like setting and help us grow these capabilities further as the products scale. 

Building on a solid understanding of ventilation principles, you design, develop, and validate signal processing and machine learning algorithms that address a wide range of challenges across mechanical ventilation. You own problems from research question through to product-ready solutions, working hands-on with clinical experts and engineers to move prototypes into clinical validation and, ultimately, into products that reach the bedside. 

That’s what you bring along:

Your key responsibilities 

• Design, implement, and rigorously evaluate signal processing, data science, and machine learning algorithms across mechanical ventilation 

• Take ownership of research topics end-to-end, from problem framing and data exploration to validated, product-oriented solutions 

• Build and run data analyses and complete ML workflows using our Azure-based cloud data platform 

• Develop reproducible, well-engineered pipelines that support fast iteration while meeting the traceability and documentation needs of a regulated environment 

• Work closely with clinical experts, software engineers, and product stakeholders across disciplines 

Must-have 

• A PhD in a relevant engineering or scientific field (biomedical engineering, computer science, physics, or related), or equivalent industry experience 

• Several years of experience developing and validating data science / machine learning solutions 

• Strong programming skills in Python; solid grounding in data and signal processing 

• Experience with cloud-based data and ML tooling 

• Analytical, independent, and meticulous work style 

• Openness to interdisciplinary collaboration and a product-oriented mindset 

Beneficial 

• Prior experience developing medical-device software, ideally through to production 

• Working knowledge of Microsoft Azure (Azure Databricks, Azure Machine Learning) 

• Familiarity with MLOps practices (experiment tracking, model deployment, monitoring) 

How to apply:

Benefits

• Mitarbeitenden-Rabatt für viele Freizeitangebote und Dienstleistungen
• Green Sense: das gesunde und nachhaltige Mitarbeitenden-Restaurant
• Events: Sommer- oder Weihnachtsfeier
• Sport & Spass – lass dich überraschen
• Beratungsangebote bei externen Partnern für verschiedene Lebenssituationen
• Vielfältige Weiterbildungs- und Entwicklungsmöglichkeiten
• Familiäre Arbeitsumgebung
• Fünf Wochen Urlaub
• 13. Monatslohn
• 42.5 Stunden-Wochen im Gleitzeitmodell
• Vorholzeit für Brückentage zwischen Weihnachten und Neujahr
• Home-Office
• Eigene Pensionskasse mit Wahlmöglichkeit aus drei Optionen
• Lohnfortzahlung bei Krankheit, Unfall und Schwangerschaft
• Unfallversicherung und Rabattmöglichkeiten bei der obligatorischen Krankenversicherung