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Required AI / Computer Vision Algorithm Engineer
Key Responsibilities:
AI/Computer Vision Engineer to develop image-processing algorithms for next-generation ophthalmic diagnostic devices.
Full time, Hybrid
Develop advanced computer-vision algorithms for medical imaging.
Detect biomarkers related to specific use cases
Build models supporting diagnostic decisions.
Train deep-learning models (CNNs, ViT, Autoencoders).
Work with Python, PyTorch/TensorFlow, OpenCV.

We are looking for a Senior AI Researcher to join our foundation models team and help advance large-scale models for single-cell RNA (scRNA) data.

In this role, you will focus on training and improving transformer-based and deep learning models, developing algorithmic solutions to challenging modeling problems, and adapting modern foundation model techniques to biological data. This is a hands-on research position for someone who enjoys building and training deep models, understanding their behavior, and pushing them to perform better.

You do not need prior biology experience - but you should be excited to apply your deep learning expertise to a new scientific domain.

Location: Ramat Gan, Israel (hybrid model)

What will you do?
Develop, train, and refine transformer-based and related architectures for large-scale scRNA data.
Tackle challenging modeling problems with thoughtful, principled approaches.
Apply ideas from NLP and vision (pretraining, self-supervision, transfer learning) to biological data.
Plan careful experiments, perform ablations, and deeply analyze results to guide model improvements.
Engage directly with large, noisy biological datasets and build intuition for model behavior in this setting.
Partner with engineers, data scientists, and biology experts to turn research ideas into working systems.

We believe in giving back to help those in need in the communities where we live and work. And are equally committed to creating a healthier environment and planet through our sustainability efforts.

Job Summary
In this hybrid fixed term role (2 days remote, 3 days in office), you will be part of the Materials & Biological Safety (MBS) team, responsible for creating and maintaining material data and biological safety information, for medical devices manufactured by our company. as Materials & Biological Safety Associate Specialist. You will be responsible for providing ongoing material and biological safety support for R&D and Engineering teams and regulatory submissions.

Essential Duties and Responsibilities
Local/site point of contact for internal employees, external clients and service providers regarding materials and biological safety of West Medical Devices platforms mainly VTD and V2B.
Support the design and development teams with materials research, evaluation, and selection. Liaise with Product Design, Validation & Verification and Project Managers/Leads to achieve project goals through high quality, accurate and timely completion of deliverables.
Responsible for directing external/third-party biocompatibility testing service providers and coordinate testing at external labs.
Coordinate, build and procure sample devices from the manufacturing plant for use in biocompatibility and/or chemical characterization evaluations.
Create (author) and/or review and approve biocompatibility test plans, protocols, and reports.
Create (author) and/or review and approve biological gap assessments for Medical Devices and manufacturing process.
Create (author) and/or review Biological Risk Assessment (BRA) /Toxicological Risk Assessment (TRA) in preparation for completing biocompatibility testing and chemical characterization programs.
Provide general ongoing materials and biological safety support with customer requests/inquiries, regulatory body or customer audits, and regulatory submissions.
Maintain thorough understanding of relevant ISO standards, quality system and laboratory testing accreditation requirements.

As a Senior R&D Process Development Engineer , you will play a key role in a multidisciplinary engineering team driving the design, development, and launch of next‑generation manufacturing platforms that enable future CT detector technologies. You will work closely with design and hardware teams to translate breakthrough concepts into scalable, automated production processes that deliver reliability, precision, and manufacturability at scale.

Your role:
Team Collaboration: Work as a key member of the R&D process team to develop, test, and implement automated assembly solutions for future products.
Process Development: design and optimization of new automatic assembly lines, specifically for high-precision CT detector modules.
Hands-on Implementation: Support the integration and fine-tuning of Die Attach systems and Epoxy/solder Dispensing processes within the R&D lab and pilot lines.
DFM Support: Participate in design reviews to provide DFM (Design for Manufacturing) insights, ensuring that new detector designs are optimized for assembly.
Technology Evaluation: Assist in benchmarking and testing new manufacturing technologies and equipment to determine their feasibility for future product lines.
Validation & Documentation: Execute DOEs (Design of Experiments) and document process characterization as part of the teams effort to meet medical regulatory standards.

We are seeking an experienced and self-driven Systems Engineering Functional Manager to lead our systems engineering team for our CT/AMI detection platform (DMS). This team is responsible for the full lifecycle of system-level development from systems design, requirements management, architecture design, execution of technical reviews, setting the integration plan to verification, validation, and regulatory compliance.

Your role:
Lead and mentor a multidisciplinary systems engineering team, fostering growth, collaboration, and technical excellence.
Provide strategic and hands-on technical guidance in the development of CT/AMI detection platforms.
Oversee engineering planning and execution to support complex project ensuring timelines and quality standards are met.
Resource assignment and prioritization including headcount and budget management.
Working across functions and team boundaries to define, design, and implement the next generation of products.
Decision making in cross-disciplinary and architectural aspects.
Drive continuous improvement in engineering and systems engineering processes and tools.
Support audits and regulatory inspections as a subject matter expert.
Represent DMS System Design in global engineering forums and initiatives.

Were looking for an experienced Product Analytics Manager to play a key role as part of the Product organization. The Product Analytics Manager will lead the domain and work closely with Product, R&D, Sales and Marketing, Customer Success, and BI to drive data-informed product and business decisions.
Key Responsibilities
Define product success metrics, usage benchmarks, and adoption KPIs across products and customer segments, ensuring alignment with clinical and business impact goals.
Own the end-to-end product analytics framework - including event design, tracking strategy, data validation, and ongoing data quality monitoring.
Perform hands-on deep-dive analyses, working directly with raw data and collaborating with R&D and BI to ensure robust data models, pipelines, and instrumentation.
Partner with Customer Success and BI to deliver customer-centric insights and support the evolution of the product data infrastructure.
Build dashboards and analytical models to support product and business decision-making, evaluate feature performance, and establish a continuous feedback loop between user behavior and product development - using data-driven insights to challenge assumptions and prioritize high-impact roadmap initiatives.
Quantify the clinical and economic impact of solutions by analyzing real-world encounter data to validate key performance markers such as reduction in cost of care, improved patient outcomes, and product utilization.
Translate complex analyses into clear, actionable recommendations for technical and non-technical stakeholders.
Provide professional leadership in analytics, including team management (if applicable) and contributing to the growth of the analytics function.