This is a contract position for 8 months (Maternity Leave Replacement)

How you will make an impact:

• You will have a leading role within a small team of expert engineers and technicians, working closely with global R&D and testing teams at our new state-of-the-art R&D center in Caesarea.

• Design and execute bench tests as part of R&D projects: collect inputs, translate them to design specifications, design test systems, run tests, and validate the systems.

• Lead, coordinate, and participate in cadaver and animal studies.

• Perform research activities (review and search for clinical papers and publications).

• Collaborate closely with QA on systems validation, test plans, test method validations, and study protocols and reports.

• Maintain clear, structured, and traceable documentation of all test data, results, and records.

• Interface with USA headquarters (travel 1–3 times a year; evening phone calls).

• Organization and rigor are at the heart of this role. We work in a testing environment where the integrity and traceability of data is paramount.

What you’ll need:

• Bachelor's degree in Bio-Medical Engineering / Mechanical Engineering or equivalent

• 2–3 years of industry experience (preferably medical)

• CAD (SolidWorks) experience

• Experience leading and managing activities, tasks, and people (formal or informal)

• CAD (SolidWorks) experience

• Exceptionally organized, methodical, detail oriented. Recording and storing test data, results, and documentation in a consistent, structured way. Your records are clear, complete, and traceable, so work can be easily reviewed, shared, and reproduced across the team. This is a must-have for success in this role.

• Anatomical knowledge and understanding

• Independent, versatile, self-motivated, and a strong team player

• Hands-on, with strong technical intuition

• Fluent English (oral and written)

• Basic statistical knowledge

What else we look for:

• AI fluency and mindset (increasingly important to how our team works) - hands-on experience with AI tools, a habit of experimenting with them, and a genuine interest in applying AI to work more efficiently.

• Experience in the cardio-vascular field

• Fluid dynamics knowledge and experience

• Advanced statistical knowledge (DOE, ANOVA, etc.)