Role overview
*To apply, please submit your CV and a cover letter detailing your experience and motivation to careers@virtonomy.io
About Us:**
Virtonomy is an innovative company based in Munich, dedicated to revolutionizing medical device development through simulation-driven design. Our mission is to accelerate time-to-market and improve patient safety by creating a digital twin for medical devices, utilizing real-world patient data and advanced computational techniques.
What you'll work on
- Design, develop, and optimize computer vision algorithms tailored for medical imaging applications.
- Implement and train deep learning models for segmentation, classification, anomaly detection, and other medical imaging tasks.
- Preprocess and augment large-scale medical imaging datasets (e.g., DICOM, NIfTI), ensuring high data quality and integrity.
- Implement and train deep learning models for tasks such as segmentation and classification
- Collaborate with cross-functional teams to support customer projects, communicate findings, and iterate on solutions to meet customer needs.
What we're looking for
Application: To apply, please submit your CV and a cover letter detailing your experience and motivation to careers@virtonomy.io. For more information, feel free to contact us.
By doing so, you consent to sharing your personal data with us in accordance with all applicable privacy regulations, including GDPR, and that we may use this data for purposes of evaluating your candidacy for this and any relevant future roles with us. You may opt out of this consent by informing us in writing at any time.
Job Type: Full-time
Pay: 55.000,00€ - 70.000,00€ per year
Work Location: Hybrid remote in 80336 Munich, Germany