At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https: //www.jnj.com

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About Cardiovascular

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Are you passionate about improving and expanding the possibilities of Cardiovascular? Ready to join a team that’s reimagining how we heal? Our Cardiovascular team develops leading solutions for heart recovery, electrophysiology, and stroke. You will join a proud heritage of continually elevating standards of care for stroke, heart failure and atrial fibrillation (AFib) patients.

Your unique talents will help patients on their journey to wellness. Learn more at https: //www.jnj.com/medtech

About the Role
Join the Core Technologies team at Johnson & Johnson MedTech EP, where you’ll be immersed in research and development of cutting-edge technology for cardiac rhythm diagnosis and treatment. As a physicist in our team, you will help build technological infrastructures that underpin our world-leading systems.

Responsibilities

• Research and development of technological infrastructure for core medical systems.
• Develop intra-body tracking systems based on magnetic and electric fields.
• Signal processing of physiological signals.
• 3D reconstruction of physiological structures.
• Development and integration of various sensors (ECG, Ultrasound, Impedance, etc.).

Requirements

• Master’s degree (minimum) in Physics or Electrical Engineering (PhD preferred).
• At least 5 years’ experience in applied physics/electronics and system development.
• Proven experience in mathematical infrastructure/algorithm/simulation development.
• Neural network development experience – advantage.
• Outstanding PhD graduates in Physics or Electrical Engineering may be considered, even without professional experience.
• Strong ability to work independently and exceptional self-learning skills.

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