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Research & Development Leadership Development Program- 2024 Full-Time
Company | Johnson & Johnson |
Address | Redwood Valley, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Hospitals and Health Care |
Expires | 2023-09-26 |
Posted at | 8 months ago |
- Support of products’ design development, manufacturing, and commercialization, leveraging technical expertise to anticipate and proactively address challenges and risks.
- Engineer capabilities required to develop and deliver automated medical devices - including requisite instruments, advanced imaging, and user interface/experience.
- You will have opportunities to participate and/or lead in rotational assignments encompassing the entire project or a large portion of a major project. This may include resolving advanced materials, process, inspection/testing, or procedural approaches to advance a medical device through the pipeline process into full R&D, and potentially into commercialization.
- Opportunity to work in a fast-paced cross-functional, technologically advanced corporate environment in a program focused on developing individual engineers capable of pursuing careers across medical device businesses and high-volume manufacturers.
- Increase the productivity of product design utilizing CAD, improve the quality of projects, improve communications through documentation, and to create a database for manufacturing.
- Pursue a number of internal developmental training programs as well as externally recognized qualifications such as Process Design Excellence.
- Ability to relocate anywhere in the United States as required by the program’s rotations – a mandatory requirement.
- Validated leadership experience through extra-curricular activities, employment, and/or internship experiences is required . An R&D co-op or internship is highly preferred.
- The following engineering disciplines or specialties are preferred: Mechanical, Robotics, Electrical, Computer, Systems, Software, Materials Science, Biomedical, and Computer Science.
- The following concentration fields and/or skills are strongly preferred: Machine Learning, IoT, Embedded Software, Deep Machine Learning, Prototyping, Robot Design, Systems Reliability, Firmware, and hardware integration.
- You must have the ability to demonstrate excellent problem-solving skills, intellectual curiosity, and a dedicated approach to achieving success.
- A minimum GPA of 3.3 is strongly preferred.
- Currently enrolled in an Engineering Graduate Program ( Master’s degree or Ph.D. ) graduating by June 2024.
- You must have the ability to work closely with technical and non-technical personnel and have excellent communication skills with the ability to influence others.
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