Sente c is a Swiss-American medical device company specializing in respiratory care. Since its founding in 1999, the company utilizes a deep-tech approach that is founded on advanced science and avant-garde technologies for respiratory patients across care areas.
The goal is to support enduring change in clinical practice that reduces challenges for respiratory patients, improves healthcare outcomes, and alleviates costs.
The company’s product portfolio includes noninvasive, continuous monitoring systems that provide critical clinical respiratory insights, as well as proven therapies to restore pulmonary function for compromised patients. These products enable healthcare professionals to deliver personalized care.
Key tasks: Advance our methods of working with and learning from data
Improve the performance, intelligence, and usability of our transcutaneous monitoring system
Understand and take into account user needs and market impact
Characterize our transcutaneous monitoring system performance and understand factors that influence it
Plan studies, collect and analyze data to inform signal processing algorithm development
Drive signal processing algorithm development through the entire life cycle: data collection, design and testing, specification, verification and validation, and documentation
Contribute to the development of new products
Minimum Requirements: University degree in a technical/scientific field (Master or PhD)
Proficiency working with data and writing custom analysis scripts (e.g., Python, Matlab/Octave, R, SQL, etc.)
Experience with statistical data analysis and modeling
Ability to design experiments/studies to answer specific questions and test hypotheses
Very good command of English (spoken and written)
Ability to communicate complex information in a meaningful and clear way to various audiences
Motivated to interact with the system hands-on, draw insights from data, develop new solutions, understand user experience, and make an impact on patient care
What We Offer: Meaningful work on products that are life-saving or effectively support patient therapy
Flat hierarchies and truly interdisciplinary workgroups
The opportunity to contribute ideas, actively participate, and make decisions
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