Biomedical Software Engineer
Solliciteren
Plaats
Brussel1000
Brussel
België
Contract
Vooltijds, Onbepaalde duurDatum gepubliceerd
2026-02-14Online to:
2026-04-15EUR 15.00 HOUR
Biomedical Software Engineer
- CathFlow Medical
- Brussel
- 1 dag geleden
Job Vacancy: Biomedical Software Engineer
Company: Cathflow Medical Location: Brussels Area, Belgium (Hybrid) Type: Full-time
The Mission
At Cathflow Medical, we are transforming cardiac diagnostics. We are looking for a Biomedical Engineer who combines strong Python proficiency with clinical insight. In this role, you will act as the bridge between our core technology and clinical application, ensuring our algorithms are precise, our data is pristine, and our software is ready for regulatory approval.
Your Key Responsibilities
1. Software Maturity & Algorithm Refinement You will take ownership of the existing codebase to transition it from a functional prototype to a production-grade medical device.
● Code Optimization: Audit and enhance the software architecture, ensuring third-party libraries (e.g., DICOM handling) and mathematical engines are integrated seamlessly.
● Quantitative Development: Lead the implementation and refinement of quantification algorithms to ensure absolute mathematical precision.
● Performance Engineering: Address technical bottlenecks to improve rendering speeds and memory management for complex volumetric data.
2. Clinical Data Operations You will serve as the primary technical interface between the engineering team and clinical stakeholders (physicians and annotators).
● Workflow Design: Translate clinical needs into technical standards and procedures for data labeling, ensuring a high-quality \"Ground Truth\" for machine learning.
● Quality Assurance: Design automated systems to audit clinical data outputs, detecting geometric inconsistencies or data outliers before entering the training pipeline.
● Data Integrity: Oversee the lifecycle of clinical datasets, ensuring metadata preservation and spatial consistency throughout the import/export process.
3. Regulatory Verification & Validation (V&V) You will play a critical role in generating the technical evidence required for FDA and regulatory submissions.
● Validation: Validate the accuracy of the tool's visualization and quantitative
measurements against phantoms, artificial data, or other imaging modalities.
● Technical Documentation: Contribute to the technical file, including Software Verification Reports and technical sections of the User Manual (IFU).
4. User Support & Knowledge Transfer
● Training: act as the subject matter expert to train physicians and external partners on
the nuances of the software's analysis tools.
● Feedback Loop: Consolidate clinical feedback and technical issues to prioritize future features and algorithm improvements.
Your Profile
● Education: Master's degree in Biomedical Engineering, Computer Science, or Physics.
● Core Tech: Strong proficiency in Python (specifically for image processing and data analysis) is non-negotiable.
● Domain Knowledge
Solid understanding of medical imaging physics (CT/Angiography) and DICOM
standards.
Familiarity with mathematical concepts relevant to 3D reconstruction (e.g., interpolation, geometry).
● Mindset: You are detail-oriented enough for FDA documentation but agile enough for a startup environment.
● Languages: Excellent English is required. Dutch is a plus.
What We Offer
● Innovation: Work on proprietary technology that directly impacts patient outcomes in cardiology.
● Ownership: A high-responsibility role where you manage the technical validation roadmap.
● Package: Attractive compensation aligned with your experience and impact.
Company: Cathflow Medical Location: Brussels Area, Belgium (Hybrid) Type: Full-time
The Mission
At Cathflow Medical, we are transforming cardiac diagnostics. We are looking for a Biomedical Engineer who combines strong Python proficiency with clinical insight. In this role, you will act as the bridge between our core technology and clinical application, ensuring our algorithms are precise, our data is pristine, and our software is ready for regulatory approval.
Your Key Responsibilities
1. Software Maturity & Algorithm Refinement You will take ownership of the existing codebase to transition it from a functional prototype to a production-grade medical device.
● Code Optimization: Audit and enhance the software architecture, ensuring third-party libraries (e.g., DICOM handling) and mathematical engines are integrated seamlessly.
● Quantitative Development: Lead the implementation and refinement of quantification algorithms to ensure absolute mathematical precision.
● Performance Engineering: Address technical bottlenecks to improve rendering speeds and memory management for complex volumetric data.
2. Clinical Data Operations You will serve as the primary technical interface between the engineering team and clinical stakeholders (physicians and annotators).
● Workflow Design: Translate clinical needs into technical standards and procedures for data labeling, ensuring a high-quality \"Ground Truth\" for machine learning.
● Quality Assurance: Design automated systems to audit clinical data outputs, detecting geometric inconsistencies or data outliers before entering the training pipeline.
● Data Integrity: Oversee the lifecycle of clinical datasets, ensuring metadata preservation and spatial consistency throughout the import/export process.
3. Regulatory Verification & Validation (V&V) You will play a critical role in generating the technical evidence required for FDA and regulatory submissions.
● Validation: Validate the accuracy of the tool's visualization and quantitative
measurements against phantoms, artificial data, or other imaging modalities.
● Technical Documentation: Contribute to the technical file, including Software Verification Reports and technical sections of the User Manual (IFU).
4. User Support & Knowledge Transfer
● Training: act as the subject matter expert to train physicians and external partners on
the nuances of the software's analysis tools.
● Feedback Loop: Consolidate clinical feedback and technical issues to prioritize future features and algorithm improvements.
Your Profile
● Education: Master's degree in Biomedical Engineering, Computer Science, or Physics.
● Core Tech: Strong proficiency in Python (specifically for image processing and data analysis) is non-negotiable.
● Domain Knowledge
Solid understanding of medical imaging physics (CT/Angiography) and DICOM
standards.
Familiarity with mathematical concepts relevant to 3D reconstruction (e.g., interpolation, geometry).
● Mindset: You are detail-oriented enough for FDA documentation but agile enough for a startup environment.
● Languages: Excellent English is required. Dutch is a plus.
What We Offer
● Innovation: Work on proprietary technology that directly impacts patient outcomes in cardiology.
● Ownership: A high-responsibility role where you manage the technical validation roadmap.
● Package: Attractive compensation aligned with your experience and impact.