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Hamilton Medical AG
Research and Development
Domat/Ems
Up to 20 %
Indefinite Worker
JR-5973
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.
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)
Learn more about career opportunities at Hamilton at Jobs | Hamilton Medical.
Do you share our values and feel at home in a cooperative, innovative, and down-to-earth environment? At Hamilton, we not only offer a motivating working environment, but also purposeful work and modern working conditions. Our interactions at eye level encourage open communication and a pleasant working environment. Become part of a team where your skills are valued and innovative ideas are fostered. Interested? Then apply online using the "Apply now" button. If you have any questions, please contact us at jobs@hamilton-medical.com with the following details:
Applications by post or e-mail can unfortunately not be considered.
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