Research and Development (R&D) Engineer

1.  Research & Development of Advanced Biomechanical Workflows

• Design, implement, and optimize open-source finite element analysis (FEA) workflows for orthopaedic imaging, focusing on integrating patient-specific CT data with biomechanical modelling to simulate bone and implant mechanics.
• Perform detailed biomechanical simulations to evaluate mechanical behavior under various physiological conditions, addressing key technological challenges such as automated mesh generation for complex bone geometries, assignment of heterogeneous and anisotropic material properties, and multi-scale modeling of bone-implant interactions.
• Validate simulation results against clinical and experimental data, ensuring accuracy and reliability of computational models.
• Develop advanced algorithms to enhance simulation accuracy, computational efficiency, and robustness, directly addressing scientific and technical uncertainties inherent in patient-specific biomechanical modelling.
• Contribute to the development of standardized, reproducible workflows suitable for broader clinical adoption and translational research.

2. Interdisciplinary Collaboration & Scientific Advancement

• Collaborate closely with interdisciplinary teams including engineers, clinicians, and software developers to refine algorithms, improve computational efficiency, and ensure compatibility with clinical imaging systems, surgical planning tools, and data management pipelines.
• Engage in collaborative discussions with engineering, product, and clinical teams, contributing to project planning, progress tracking, and solution optimization.
• Establish and nurture research collaborations with clinical partners and research institutions, particularly with clinical experts and hospitals in mainland China, to understand their research needs in orthopaedics, medical imaging, biomechanics, and simulation, and facilitate the application of our technologies in scientific studies.
• Independently conduct clinical scientific research, managing the full cycle of projects from initiation to publication, with a preference for candidates with first author publications in relevant SCI Q1 journals or patents.

3. Technical Expertise & Innovation

• Leverage understanding of regulatory frameworks (e.g., NMPA, FDA 510(k)) to guide R&D strategies and ensure developed solutions meet regulatory standards for Software as a Medical Device (SaMD).
• Provide feedback from R&D activities to product development teams, contributing to product enhancements and new feature development based on scientific findings.
• Participate in industry events, conferences, and workshops to stay abreast of emerging technologies and research trends in medical AI and imaging solutions.