Core
Developing computational models and algorithms for non-invasive cardiac diagnostics using neural networks, generative models, and physiological signal processing.
Role type
Senior BME Engineer (Computational Medicine & AI)
Builds
Non-invasive diagnostic software for coronary artery disease
Domain
Medical Technology / Cardiology / Computational Fluid Dynamics
Deliverable
production ML models
Required skills
Python, C/C++/C#, Java, Machine Learning, Time Series Analysis, Statistical Methods, CFD Data Engineering, Biomedical Signal Processing (PPG, ECG, Blood Pressure)
Preferred skills
Research & Literature Review, Clinical Trial Statistical Support, Patent Documentation
Technologies
Python, C/C++, C#, Java, CFD, Neural Networks, Generative Models
Responsibilities
Develop computational methods and models for neural networks and generative models; Prepare, assemble, and process input/output data for CFD modules; Refactor source code and validate results against experimental data; Provide technical support for product implementation and integration; Support clinical trial planning and statistical analysis; Prepare scientific reports, technical documentation, and patents.
Seniority
Senior, hands-on IC