דרושים » מדעים מדוייקים » Lead Clinical Applications Engineer

The Lead Clinical Applications Engineer is a role within R&D, focused primarily on new product introduction and continuous improvement of post-market Nuclear Medicine and/or PET-CT imaging systems and related software. The role provides clinical and application expertise to product and engineering teams, ensuring solutions meet clinical needs, deliver strong image quality and quantification, and perform reliably in real‑world use.
Working closely with R&D, system engineering, product management, service, and field teams and customers, this role translates clinical needs, customer feedback, and usage insights into practical system and software improvements, while supporting resolution of complex clinical and application‑related issues.
Job Description
Lead Clinical Applications Engineer
Key Responsibilities
Serve as a clinical reference for Nuclear Medicine and PET-CT applications and workflows within R&D programs.
Support investigation of selected complex customer or field issues, translating findings into actionable inputs for product improvement.
Interface with product, software, algorithms, system engineering, hardware, UX, service, and field organizations as needed.
Translate clinical use cases and user needs into system and software requirements in collaboration with engineering teams.
Support design and validation of Nuclear Medicine and PET-CT applications, reconstruction methods, and workflow solutions.
Provide clinical input to decisions impacting image quality, quantification accuracy, dose, and user experience.
Participate in evaluation of AI‑enabled Nuclear Medicine and PET-CT, supporting clinical validation and performance claims.
Contribute to usability, clinical validation, and regulatory‑related documentation as required.

The clinical application engineer serves as the core clinical knowledge of the product development and/field support phase for SPECT/CT, PET/CT and radiology reading solutions. Your main responsibilities include:
Gathering, prioritizing, and shaping user requirements.
Designing new applications and features.
Close collaboration with cross-functional engineering groups to feed customer needs into detailed engineering design requirements
Supporting product life cycle activity such as usability, user manuals, application training, regulatory submissions, clinical evaluation summary report, medical evaluations, and product pilots.
Work in close collaboration with customers, internal/external stakeholders. Supporting the field with advanced customer queries.

We are seeking a proactive and detail-oriented AI Regulatory Engineer to ensure that AI-based clinical features for ultrasound systems comply with evolving global regulatory requirements-particularly FDA regulations for AI-enabled medical devices.
This role is critical as AI has become a highly regulated domain, requiring specialized regulatory strategies, risk management approaches, and lifecycle governance. The AI Regulatory Engineer will work closely with AI engineering, clinical, quality, product management, and regulatory affairs teams to define and execute the correct AI regulatory and submission strategy across the full product lifecycle.
Job Description
Key Responsibilities
AI Regulatory Strategy & Compliance
Interpret and apply regulatory frameworks and guidance for AI-enabled medical devices, including FDA, EU MDR/IVDR, and global regulations.
Define and drive AI regulatory strategies for clinical ultrasound features, including SaMD and AI-enabled device functions.
Support FDA submission pathways (e.g., 510(k), De Novo, PMA) for AI-based features, including AI-specific regulatory positioning.
Risk Management & Safety for AI
Lead AI-focused risk management activities in accordance with ISO 14971, addressing AI-specific hazards such as bias, robustness, generalization risk, and clinical misuse.
Perform and maintain AI-specific risk analyses (e.g., AI FMEA, algorithm hazard analysis, clinical performance risk).
Ensure traceability between clinical requirements, AI behavior, risk controls, and verification/validation evidence.
Regulatory Documentation & Submissions
Prepare and maintain AI-related regulatory documentation, including:
AI descriptions and intended use statements
Training and validation dataset descriptions
Performance evaluation and clinical evidence summaries
Algorithm change management and lifecycle documentation
Support creation of FDA-ready AI documentation, including transparency, explainability, and human-factors considerations.
AI Lifecycle & Change Management
Define regulatory-compliant processes for AI updates, retraining, and post-market changes, aligned with FDA expectations.
Support implementation of Predetermined Change Control Plans (PCCP) or equivalent AI lifecycle strategies.
Ensure alignment between AI development practices and regulatory expectations for locked vs. adaptive algorithms.
Cross-Functional Collaboration
Collaborate closely with:
AI engineers and data scientists
Clinical and medical affairs teams
Quality, systems, and V&V engineers
Product management and regulatory affairs
Embed regulatory and safety requirements early into AI design, data strategy, and clinical validation plans.
Regulatory Intelligence & Audits
Monitor evolving AI regulations, FDA guidance, standards, and industry best practices.
Communicate regulatory changes and their impact on AI roadmaps and product strategy.
Support internal audits, design reviews, and external regulatory inspections related to AI and clinical safety.
Provide training and guidance on AI regulatory and safety topics to engineering and product teams.

The Staff Machine Learning Engineer is a senior technical leader responsible for designing, developing, and deploying production-grade AI systems for our company medical imaging products. This role focuses on vision-language models, diffusion models, and multimodal learning, working closely with data scientists, software engineers, product leaders, and clinical experts to turn advanced AI methods into robust product capabilities.
Key Responsibilities
Design, implement, and productionize AI models for clinical applications, including vision and diffusion models.
Own end-to-end model lifecycle: data ingestion, training, evaluation, deployment, monitoring, and iteration.
Work with large-scale medical datasets, ensuring data quality, preprocessing, and efficient pipeline management.
Drive technical decisions and tradeoffs with a focus on scalability, maintainability, and real-world constraints.
Collaborate with clinical AI scientists to translate research innovations into production-ready solutions.
Stay current with advancements in vision-language modeling, GenAI, and related AI technologies.

As part of our companys Point of Care Ultrasound business, this role focuses on activities that contribute to the design and development of innovative ultrasound products and their interaction with the human body. You will play a key part in planning and executing tasks that impact departmental operations, ensuring compliance with standard functional practices and procedures. While the position offers some autonomy, it is primarily centered on delivering high-quality execution within an established operating discipline. Some judgment may be required, offering guidance to other team members.
Join us in transforming patient care by bringing advanced imaging closer to clinicians- helping them make faster, more accurate decisions when it matters most.
Job Description
Roles and Responsibilities
Technical Product Leader
Design and define clinical applications- AI tools, clinical and workflows applications, according to user needs communicated by product managers, clinical team, field feedback and physicians.
Project management collaborating with multifunctional teams: software, algorithms, system, program, mechanics, UX\UI designer, verification, clinical team and product managers.
Documentation of product requirements- design input and output.
Review verification plans and procedures.
External evaluation sites support.
Regulatory submission support.

department. You will be responsible for gathering, analyzing, and reviewing system-level and sub-system requirements, coordinating system partitioning and total system integration using systems engineering practices.
Your role:
Contribute to system architecture, design, and integration of a complex CT subsystem.
Perform hands-on lab work, including system bring-up, debugging and root-cause analysis.
Own and maintain system-level documentation (requirements, specifications, interfaces, design rationales).
Support verification and integration activities across multiple CT platforms.
Lead technical topics and collaborate closely with HW, SW, Mechanics, Physics, Manufacturing, Quality, and Service teams.
Support field and production issue investigations and lifecycle improvements.

Required Signal/Power Integrity Engineer, PhD Graduate
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Responsibilities:
Simulate high speed interface electrical behavior using HSPICE or other circuit simulators.
Generate precise electrical models (e.g., S-parameters, SPICE models) for components such as packages, PCBs, and connectors for use in simulations.
Collaborate extensively with cross-functional teams, including ASIC architects, digital/analog designers, physical design/layout engineers, and system engineers, to define specifications and resolve integration challenges.
Execute lab measurements utilizing test equipment like oscilloscopes, Vector Network Analyzers (VNA), Time Domain Reflectometers (TDR) , Spectrum analyzers to validate simulation outcomes and debug signal and power-related issues on silicon prototypes and boards.
Establish robust design rules and guidelines for optimal signal/power integrity during PCB and package layout, ensuring high production yield and reliability.